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Learning Path - Become Fluent in Python

  • Learning Path - Become Fluent in Python.iso 5.5 GB
  • More_info.txt 287 Bytes
[磁力链接] 添加时间:2017-02-13 大小:5.5 GB 最近下载:2025-07-18 热度:307

Packt.Python.Deep.Learning.Solutions-XQZT

  • ppdls-7c3e-xqzt.nfo 847 Bytes
  • ppdls-7c3e-xqzt.r00 50.0 MB
  • ppdls-7c3e-xqzt.r01 50.0 MB
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  • ppdls-7c3e-xqzt.r08 50.0 MB
  • ppdls-7c3e-xqzt.r09 50.0 MB
  • ppdls-7c3e-xqzt.r10 50.0 MB
  • ppdls-7c3e-xqzt.r11 50.0 MB
  • ppdls-7c3e-xqzt.r12 50.0 MB
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  • ppdls-7c3e-xqzt.r16 50.0 MB
  • ppdls-7c3e-xqzt.r17 50.0 MB
  • ppdls-7c3e-xqzt.r18 50.0 MB
[磁力链接] 添加时间:2018-07-30 大小:5.5 GB 最近下载:2018-07-30 热度:5

Python Deep Learning Solutions [Video]

  • Exercise Files/code_33942.zip 5.1 GB
  • 1.Deep Learning Frameworks/02.Understanding TensorFlow, Keras and PyTorch Framework.mp4 24.2 MB
  • 1.Deep Learning Frameworks/03.Deep Learning Using CNTK and Gluon Framework.mp4 9.9 MB
  • 2. Feed-Forward Neural Networks/04.Implementing Single and Multi-Layer Neural Network.mp4 28.3 MB
  • 2. Feed-Forward Neural Networks/05.Experiment with Activation Functions, Hidden Layers, and Hidden Units.mp4 26.3 MB
  • 2. Feed-Forward Neural Networks/06.Autoencoder, Loss Function, and Optimizers.mp4 27.5 MB
  • 2. Feed-Forward Neural Networks/07.Overfitting Prevention Methods.mp4 16.5 MB
  • 3.Convolutional and Recurrent Neural Networks/08.Optimization Techniques for CNNs.mp4 20.1 MB
  • 3.Convolutional and Recurrent Neural Networks/09.Experimenting with Different Types of Initialization.mp4 29.8 MB
  • 3.Convolutional and Recurrent Neural Networks/10.Implementing Simple RNN and LSTM.mp4 17.8 MB
  • 3.Convolutional and Recurrent Neural Networks/11.Implementing GRUs and Bidirectional RNNs.mp4 17.0 MB
  • 4.GANs and Computer Vision/12.Implementing Generative Adversarial Networks.mp4 15.5 MB
  • 4.GANs and Computer Vision/13.Computer Vision Techniques.mp4 22.6 MB
  • 4.GANs and Computer Vision/14.Detecting Facial Key Points and Transferring Styles.mp4 12.5 MB
  • 5.Neural Network Learning and Data Processing/15.Hyper Parameter Selection and Tuning.mp4 19.3 MB
  • 5.Neural Network Learning and Data Processing/16.Speech Recognition.mp4 24.1 MB
  • 5.Neural Network Learning and Data Processing/17.Time Series and Structured Data.mp4 30.3 MB
  • 6.Network Internals and Pretrained Models/18.Visualizing and Analysing Network.mp4 16.4 MB
  • 6.Network Internals and Pretrained Models/19.Freezing and Storing the Network.mp4 11.4 MB
  • 6.Network Internals and Pretrained Models/20.Using InceptionV3 and ResNet50 Model.mp4 11.7 MB
[磁力链接] 添加时间:2018-07-23 大小:5.5 GB 最近下载:2025-10-14 热度:997

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2022-01-14 大小:5.4 GB 最近下载:2025-09-22 热度:1370

Udemy - Python for Data Science and Machine Learning Bootcamp (5.2020)

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2025-04-23 大小:5.4 GB 最近下载:2025-10-26 热度:1025

[Tutorialsplanet.NET] Udemy - Machine Learning Regression Masterclass in Python

  • 4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4 199.4 MB
  • 6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4 165.2 MB
  • 3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4 150.8 MB
  • 1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4 150.7 MB
  • 9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4 148.9 MB
  • 6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4 142.3 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4 138.7 MB
  • 6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4 135.6 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4 135.5 MB
  • 4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4 134.6 MB
  • 3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4 132.9 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4 127.7 MB
  • 6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4 123.3 MB
  • 3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp4 102.6 MB
  • 7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4 97.9 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp4 95.0 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp4 95.0 MB
  • 9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4 92.8 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4 91.0 MB
  • 7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4 89.9 MB
[磁力链接] 添加时间:2021-06-04 大小:5.3 GB 最近下载:2025-09-19 热度:1282

[FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python

  • 4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4 199.4 MB
  • 6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4 165.2 MB
  • 3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4 150.8 MB
  • 1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4 150.7 MB
  • 9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4 148.9 MB
  • 6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4 142.3 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4 138.7 MB
  • 6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4 135.6 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4 135.5 MB
  • 4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4 134.6 MB
  • 3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4 132.9 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4 127.7 MB
  • 6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4 123.3 MB
  • 3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp4 102.6 MB
  • 7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4 97.9 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp4 95.0 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp4 95.0 MB
  • 9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4 92.8 MB
  • 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4 91.0 MB
  • 7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4 89.9 MB
[磁力链接] 添加时间:2021-05-28 大小:5.3 GB 最近下载:2025-10-25 热度:1789

Full stack web development machine learning and AI integrations HTML Javascript Python Django

  • Full stack web development machine learning and AI integrations HTML Javascript Python Django.zip 5.3 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
  • TutsGalaxy.com.txt 53 Bytes
[磁力链接] 添加时间:2023-12-28 大小:5.3 GB 最近下载:2025-10-20 热度:741

Udemy - Modern Computer Vision & Deep Learning with Python & PyTorch (12.2024)

  • 09. Overview of YOLO Family for Object Detection/01. Overview of YOLO Family.mp4 277.8 MB
  • 05. 1. Image Classification Task of Computer Vision/02. Image Classification with Deep Convolutional Neural Networks using Python.mp4 241.1 MB
  • 20. Implementation, Optimization and Training Of Segmentation Models/01. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4 207.3 MB
  • 07. Transfer Learning for Image Classification/assets/Classification-Dataset.zip 184.8 MB
  • 25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/02. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4 182.5 MB
  • 04. Computer Vision and Deep Convolutional Neural Networks/03. Coding Convolutional Neural Network Architecture from Scratch.mp4 171.0 MB
  • 12. Detectron2 for Ojbect Detection/01. Detectron2 for Ojbect Detection with PyTorch.mp4 168.2 MB
  • 13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/03. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.mp4 160.9 MB
  • 03. Deep Learning for Computer Vision/01. Basics of Deep Learning for Computer Vision.mp4 158.1 MB
  • 11. Overview of RCNN Family for Object Detection/01. Overview of RCNN Family for Object Detection.mp4 154.5 MB
  • 15. 3. Semantic Segmentation Task Of Computer Vision/02. Semantic Segmentation Real-World Applications.mp4 151.4 MB
  • 12. Detectron2 for Ojbect Detection/02. Perform Object Detection using Detectron2 Pretrained Models.mp4 143.7 MB
  • 04. Computer Vision and Deep Convolutional Neural Networks/06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.mp4 124.0 MB
  • 21. Test Models and Visualize Segmentation Results/01. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4 119.0 MB
  • 17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/04. Data Loading with PyTorch Customized Dataset Class.mp4 114.9 MB
  • 02. What is Computer Vision & its Applications/01. Introduction to Computer Vision and its Real-world Applications.mp4 114.0 MB
  • 10. Video Object Detection in Real-time/04. Testing YOLO8 on Videos and Images.mp4 112.7 MB
  • 13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/01. Custom Dataset for Object Detection.mp4 92.7 MB
  • 25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/01. Custom Dataset for Instance Segmentation.mp4 90.3 MB
  • 21. Test Models and Visualize Segmentation Results/03. Visualize Segmentation Results and Generate RGB Segmented Map.mp4 90.1 MB
[磁力链接] 添加时间:2025-09-30 大小:5.2 GB 最近下载:2025-10-27 热度:98

[freecourse.pro]-Data Science in Python Unsupervised Learning (2024-5)

  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/36. DEMO DBSCAN and Silhouette Score in Python.mp4 147.8 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/4. SOLUTION Hierarchical Clustering.mp4 137.5 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/3. SOLUTION K-Means Clustering.mp4 118.3 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/23. SOLUTION Selecting the Best K-Means Model.mp4 117.4 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/42. DEMO Label Unseen Data.mp4 109.6 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/10. PROJECT Recommending Restaurants/3. SOLUTION TruncatedSVD.mp4 103.2 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/29. DEMO Cluster Maps in Python.mp4 97.0 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/7. Anomaly Detection/10. SOLUTION Isolation Forests.mp4 95.3 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/12. DEMO Interpreting PCA.mp4 86.6 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/12. Final Project/2. SOLUTION Data Prep & EDA.mp4 86.0 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/21. DEMO Selecting the Best Model.mp4 85.0 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/19. SOLUTION Tuning a K-Means Model.mp4 82.4 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/25. Dendrograms in Python.mp4 79.1 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/17. T-SNE.mp4 78.8 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/6. SOLUTION Compare, Recommend and Predict.mp4 71.8 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/22. DEMO Dimensionality Reduction and Clustering.mp4 64.4 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/13. DEMO Plotting Inertia in Python.mp4 61.5 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/6. Visualizing K-Means Clustering.mp4 59.4 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/14. SOLUTION Interpreting PCA.mp4 59.3 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/18. T-SNE in Python.mp4 58.9 MB
[磁力链接] 添加时间:2024-06-26 大小:5.2 GB 最近下载:2025-10-24 热度:421

Udemy Complete Machine Learning Course With Python

  • 1 - Introduction/6 - Basic Python Concepts.mp4 509.0 MB
  • 18 - KMeans Clusteringunsupervised model/48 - KMeans Clustering Program1.mp4 218.8 MB
  • 17 - Random Forest/46 - Random Forest Defination and its practice program1.mp4 204.5 MB
  • 12 - Logistic Regression/39 - What is Logistic Regression and program1.mp4 200.0 MB
  • 22 - Model Selection/57 - Model Selection Program1.mp4 199.9 MB
  • 20 - Principle Component AnalysisPCA/51 - Principle Component Analysis Program1.mp4 179.1 MB
  • 13 - Support Vector MachineSVM/40 - What is Support Vector Machine.mp4 171.4 MB
  • 15 - KNN Classifier/44 - KNN Classifer defination and its practice program1.mp4 160.9 MB
  • 9 - Ridge Regression/35 - Ridge RegressionProgram 1.mp4 151.6 MB
  • 14 - Naive Bayes Classification/43 - Naive Bayes Classification Program2.mp4 149.6 MB
  • 16 - Decision Trees/45 - Decision Trees Defination and its program1.mp4 143.8 MB
  • 3 - Exploratory Data Analysis/14 - Drawing Graphs.mp4 141.3 MB
  • 7 - One Hot Encoding/29 - One Hot EncodingProgram 1.mp4 135.1 MB
  • 10 - Lasso Regression/37 - What is Lasso regression and practice program1.mp4 133.5 MB
  • 11 - ElasticNet Regression/38 - what is ElasticNet Regression and practice program1.mp4 130.8 MB
  • 11 - ElasticNet Regression/38 - 10.ElasticNet-Regression.mp4 130.2 MB
  • 8 - Polynomial Linear Regression/32 - Polynomial Linear Regression Program1.mp4 130.0 MB
  • 4 - Outliers/18 - IQR and handling the outliers.mp4 126.3 MB
  • 6 - Multiple Linear Regression/25 - Multiple Linear Regression program 1.mp4 124.3 MB
  • 2 - Introduction to Machine Learning and Anaconda Installation/7 - Introduction to Machine Learning.mp4 119.8 MB
[磁力链接] 添加时间:2024-06-22 大小:5.1 GB 最近下载:2025-10-16 热度:4586

[Tutorialsplanet.NET] Udemy - 2019 AWS SageMaker and Machine Learning - With Python

  • 10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
  • 5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
  • 8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
  • 3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
  • 5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
  • 5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
  • 5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
  • 7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
  • 8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
  • 3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
  • 9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
  • 5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
  • 3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
  • 8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
  • 9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
  • 8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
  • 9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
  • 5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
  • 3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
  • 7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB
[磁力链接] 添加时间:2021-04-12 大小:4.9 GB 最近下载:2025-10-26 热度:1599

[FreeCourseLab.com] Udemy - 2019 AWS SageMaker and Machine Learning - With Python

  • 10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
  • 5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
  • 8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
  • 3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
  • 5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
  • 5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
  • 5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
  • 7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
  • 8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
  • 3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
  • 9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
  • 5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
  • 3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
  • 8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
  • 9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
  • 8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
  • 9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
  • 5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
  • 3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
  • 7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB
[磁力链接] 添加时间:2021-03-16 大小:4.9 GB 最近下载:2025-10-21 热度:2084

Python Machine Learning, Deep Learning, Pandas, Matplotlib

  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/002 Project - 2.mp4 177.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/001 Project - 1.mp4 106.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/003 Project - 3.mp4 86.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/10 Geoplotlib/003 Example - 2.mp4 80.0 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/007 Numpy Exercises.mp4 77.8 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 75.9 MB
[磁力链接] 添加时间:2022-01-14 大小:4.9 GB 最近下载:2025-10-25 热度:4466

[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

  • 16 Projects/002 Project - 2.mp4 177.5 MB
  • 11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
  • 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
  • 08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
  • 07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
  • 16 Projects/001 Project - 1.mp4 106.5 MB
  • 09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
  • 11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
  • 15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
  • 07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
  • 11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
  • 06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
  • 16 Projects/003 Project - 3.mp4 86.3 MB
  • 07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
  • 12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
  • 07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
  • 05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
  • 10 Geoplotlib/003 Example - 2.mp4 80.0 MB
  • 05 Numpy Library/007 Numpy Exercises.mp4 77.8 MB
  • 13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 75.9 MB
[磁力链接] 添加时间:2022-04-08 大小:4.9 GB 最近下载:2025-10-17 热度:2359

Machine Learning made Easy Hands-on python

  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/15. Association Rules (with Practical).mp4 334.6 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/14. Association Rules.mp4 252.1 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/7. DBSCAN- Algorithm (with Practical).mp4 236.8 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/10. Non Linear SVM parameters (with Practical).mp4 214.5 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/5. DBSCAN Density based method.mp4 210.7 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/9. SVM - Mathematics (Hyperplane).mp4 199.9 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/4. Agglomerative Clustering (Demo2, Practical).mp4 178.8 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/3. Agglomerative Clustering (Demo1, Practical).mp4 165.2 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/1. Introduction/3. Deep Learning Introduction.mp4 163.3 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/8. SVM - Support Vector Regression (SVR) with Practical.mp4 161.5 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/5. kNN Nearest Neighbors Implementation with Practical.mp4 153.7 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/1. Unsupervised Machine Learning - Overview.mp4 150.1 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/2. Hierarchical Clustering Agglomerative Clustering.mp4 149.8 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/16. One Hot Encoding (with Practical).mp4 149.5 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/1. Supervised Machine Learning - Overview.mp4 145.5 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/8. Mean Shift Algorithm.mp4 142.3 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/2. Generating Training and Test Data (Train Test Split).mp4 136.3 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/6. DBSCAN- How to select eps (with Practical).mp4 128.9 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/3. Supervised Machine Learning/13. Linear Regression (with Practical).mp4 126.8 MB
  • [TutsNode.com] - Machine Learning made Easy Hands-on python/2. UnSupervised Machine Learning/9. Mean Shift Algorithm with Practical (1).mp4 125.4 MB
[磁力链接] 添加时间:2021-04-11 大小:4.8 GB 最近下载:2025-10-03 热度:2765

Deep Learning Recurrent Neural Networks with Python

  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
  • [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB
[磁力链接] 添加时间:2022-01-10 大小:4.8 GB 最近下载:2025-10-26 热度:4283

Deep Learning ANN Artificial Neural Networks with Python

  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/06 Implementation of DNN for COVID 19 Analysis/070 COVID19 Regression with TensorFlow.mp4 192.1 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/05 Python for Data Science/068 TensorFlow for classification.mp4 163.9 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/005 Introduction to Machine Learning, Learning Process and Supervised Learning.mp4 159.1 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/03 Introduction to Python/029 Lists(Indexing,Slicing-Built in Lists Functions).mp4 142.7 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/06 Implementation of DNN for COVID 19 Analysis/069 COVID19 Data Analysis.mp4 134.1 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/007 History and Future of Machine Learning.mp4 129.0 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/020 Importance of Data in Machine Learning,Data Encoding and Preprocessing.mp4 118.1 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/008 Dataset, Label and Features.mp4 115.1 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/07 Optional Course for Maths behind DNN/073 Understanding Gradient Decsent.mp4 112.4 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/03 Introduction to Python/037 Calculator Project.mp4 105.3 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/05 Python for Data Science/064 NumPy Pandas and Matplotlib (Part 4).mp4 99.2 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/017 Validation and Cross Validation,Generalization,Data Snooping,Validation Set.mp4 99.0 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/018 Probability Distributions and Curse of Dimensionlity.mp4 98.4 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/05 Python for Data Science/067 DataSet Preprocessing.mp4 96.4 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/04 Deep Neural Networks and Deep Learning Basics/038 Introduction to Artificial Neural Networks.mp4 93.4 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/04 Deep Neural Networks and Deep Learning Basics/057 Rprop Momentum.mp4 93.2 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/013 Model Training, Cost, Error, Loss, Risk and Accuracy.mp4 88.6 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/012 Function, Parameters and Hyperparameters.mp4 85.8 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/05 Python for Data Science/065 NumPy Pandas and Matplotlib (Part 5).mp4 85.6 MB
  • [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/04 Deep Neural Networks and Deep Learning Basics/059 Drop Out Early Stopping Hyperparameters.mp4 84.0 MB
[磁力链接] 添加时间:2021-03-14 大小:4.8 GB 最近下载:2025-10-23 热度:6091

GetFreeCourses.Co-Udemy-Deep Learning Recurrent Neural Networks with Python

  • 07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
  • 09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
  • 11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
  • 02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
  • 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
  • 03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
  • 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
  • 04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
  • 11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
  • 10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
  • 10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
  • 07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
  • 10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
  • 05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
  • 03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
  • 12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
  • 11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
  • 03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
  • 02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
  • 04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB
[磁力链接] 添加时间:2022-01-29 大小:4.7 GB 最近下载:2025-10-26 热度:1821

[FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks with Python

  • 07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
  • 09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
  • 11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
  • 02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
  • 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
  • 03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
  • 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
  • 04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
  • 11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
  • 10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
  • 10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
  • 07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
  • 10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
  • 05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
  • 03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
  • 12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
  • 11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
  • 03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
  • 02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
  • 04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB
[磁力链接] 添加时间:2024-04-15 大小:4.7 GB 最近下载:2025-10-18 热度:733


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