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[FreeTutorials.Us] Udemy - Deep Learning Convolutional Neural Networks in Python

  • 1. Outline and Review/1. Introduction and Outline.mp4 3.1 MB
  • 1. Outline and Review/1. Introduction and Outline.srt 3.6 kB
  • 1. Outline and Review/2. Review of Important Concepts.mp4 6.0 MB
  • 1. Outline and Review/2. Review of Important Concepts.srt 6.5 kB
  • 1. Outline and Review/3. Where to get the code and data for this course.mp4 5.9 MB
  • 1. Outline and Review/3. Where to get the code and data for this course.srt 5.0 kB
  • 1. Outline and Review/4. How to Succeed in this Course.mp4 6.7 MB
  • 1. Outline and Review/4. How to Succeed in this Course.srt 4.4 kB
  • 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
  • 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.srt 6.1 kB
  • 1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp4 10.6 MB
  • 1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.srt 4.5 kB
  • 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
  • 2. Convolution/1. Real-Life Examples of Convolution.srt 9.5 kB
  • 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
  • 2. Convolution/2. Beginner's Guide to Convolution.srt 8.4 kB
  • 2. Convolution/3. What is convolution.mp4 9.0 MB
  • 2. Convolution/3. What is convolution.srt 9.6 kB
  • 2. Convolution/4. Convolution example with audio Echo.mp4 12.7 MB
  • 2. Convolution/4. Convolution example with audio Echo.srt 6.9 kB
[磁力链接] 添加时间:2018-09-22 大小:1.1 GB 最近下载:2025-10-25 热度:3112

[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 131.0 MB
  • 08 - Spam Detection/006 Spam Detection in Python.mp4 112.8 MB
  • 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 110.3 MB
  • 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 106.9 MB
  • 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 100.6 MB
  • 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 79.0 MB
  • 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp4 78.5 MB
  • 02 - Vector Models and Text Preprocessing/006 Tokenization.mp4 77.1 MB
  • 01 - Introduction/001 Introduction and Outline.mp4 76.5 MB
  • 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp4 75.7 MB
  • 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp4 70.1 MB
  • 06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp4 68.7 MB
  • 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp4 66.7 MB
  • 01 - Introduction/002 Where to get the Code.mp4 66.0 MB
  • 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp4 65.9 MB
  • 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 63.1 MB
  • 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp4 61.4 MB
  • 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp4 60.7 MB
  • 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp4 60.5 MB
[磁力链接] 添加时间:2022-01-11 大小:3.1 GB 最近下载:2025-10-25 热度:2576

[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

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

  • 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
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 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
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 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
[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-10-24 热度:2407

PYTHON PARA DATA SCIENCE E MACHINE LEARNING

  • 14. Introdução ao Machine Learning/2. Link para o ISLR.html 553 Bytes
  • 14. Introdução ao Machine Learning/2. Link para o ISLR.html.part 553 Bytes
  • 25. Big Data e Spark com Python/4. Configurando um ambiente Spark Local.html 1.8 kB
  • 25. Big Data e Spark com Python/4. Configurando um ambiente Spark Local.html.part 1.8 kB
  • 12. Python para visualização de dados - Plots geográficos/1. Introdução aos Plots geográficos.mp4 2.1 MB
  • 5. Python para Análise de dados - Numpy/1. Bem vindo à seção de Numpy.mp4 2.1 MB
  • 25. Big Data e Spark com Python/1. Bem vindo à seção de Big Data e Spark com Python.mp4 3.1 MB
  • 8. Python para Visualização de dados - Matplotlib/1. Bem vindo à seção de visualização de dados.mp4 3.2 MB
  • 14. Introdução ao Machine Learning/4. Notebooks de Machine Learning.mp4 3.4 MB
  • 4. Curso relâmpago de Python/2. Introdução ao curso relâmpago de Python.mp4 3.5 MB
  • 13. Projetos de análise de dados/1. Bem vindo à seção de projetos de dados.mp4 3.7 MB
  • 6. Python para análise de dados - Pandas/2. Introdução ao Pandas.mp4 5.2 MB
  • 5. Python para Análise de dados - Numpy/2. Introdução ao Numpy.mp4 5.3 MB
  • 10. Python para visualização de dados - Visualização de dados Pandas/2. Exercícios.mp4 5.8 MB
  • 6. Python para análise de dados - Pandas/1. Bem vindo à seção Pandas.mp4 5.9 MB
  • 18. K Nearest Neighbors (KNNs)/3. KNN - Projeto.mp4 5.9 MB
  • 17. Regressão Logística/5. Regressão logística com Python - Projeto.mp4 6.1 MB
  • 12. Python para visualização de dados - Plots geográficos/4. Mapas Choropleth - Exercícios.mp4 6.4 MB
  • 21. K Means Clustering/3. K Means - Projeto.mp4 6.5 MB
  • 8. Python para Visualização de dados - Matplotlib/6. Exercícios Matplotlib.mp4 7.0 MB
[磁力链接] 添加时间:2018-10-05 大小:6.3 GB 最近下载:2025-10-24 热度:350

Master Computer Vision™ OpenCV4 in Python with Deep Learning- [UdemyCourseDownloader]

  • 19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
  • 1. Course Introduction and Setup/9.2 MasteringComputerVision_V1.03.zip.zip 133.7 MB
  • 18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
  • 1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz 121.8 MB
  • 20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz 120.1 MB
  • 4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 113.1 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.8 MB
  • 14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.mp4 107.4 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
  • 1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp4 94.3 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4 77.3 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
  • 12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip 68.9 MB
  • 6. Object Detection - Build a Face, People and CarVehicle Detectors/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 68.4 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4 66.4 MB
[磁力链接] 添加时间:2022-01-16 大小:4.2 GB 最近下载:2025-10-24 热度:1576

[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 9. Appendix/13. What order should I take your courses in (part 2).mp4 39.5 MB
  • 9. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
  • 9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 23.3 MB
  • 5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 21.1 MB
  • 6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
  • 5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 20.0 MB
[磁力链接] 添加时间:2021-03-17 大小:1.9 GB 最近下载:2025-10-23 热度:2524

[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

  • 01 Introduction and Outline/001 Introduction and outline.mp4 10.6 MB
  • 01 Introduction and Outline/002 What is Reinforcement Learning.mp4 23.0 MB
  • 01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
  • 01 Introduction and Outline/004 Strategy for Passing the Course.mp4 9.9 MB
  • 02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4 6.8 MB
  • 02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
  • 02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
  • 02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4 8.4 MB
  • 02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4 5.4 MB
  • 02 Return of the Multi-Armed Bandit/010 UCB1.mp4 8.6 MB
  • 02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 16.0 MB
  • 02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB
  • 02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4 7.8 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4 6.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4 13.3 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4 4.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 27.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4 10.3 MB
[磁力链接] 添加时间:2018-02-24 大小:621.3 MB 最近下载:2025-10-23 热度:2168

[FreeCourseSite.com] Udemy - Machine Learning A-Z with Python with Project (Beginner)

  • 6. Regression/1. Linear Regression.mp4 471.4 MB
  • 4. ntroduction to Python/5. Data Structures.mp4 398.9 MB
  • 4. ntroduction to Python/8. Data Visualisation.mp4 373.4 MB
  • 4. ntroduction to Python/7. Pandas.mp4 360.8 MB
  • 4. ntroduction to Python/6. Numpy.mp4 340.4 MB
  • 7. Classification/1. Logistic Regression.mp4 337.1 MB
  • 7. Classification/2. KNN.mp4 299.8 MB
  • 10. Our Project (Recomendation System)/2. Recommendations System.mp4 297.6 MB
  • 4. ntroduction to Python/4. Python Basics II.mp4 229.6 MB
  • 7. Classification/5. Decision Tree.mp4 227.6 MB
  • 4. ntroduction to Python/3. Python_Basics.mp4 200.2 MB
  • 9. Ensemble ML/2. Boosting.mp4 173.7 MB
  • 10. Our Project (Recomendation System)/1. PCA.mp4 165.5 MB
  • 9. Ensemble ML/1. Bagging.mp4 164.1 MB
  • 8. Clustering/1. K-means.mp4 144.2 MB
  • 4. ntroduction to Python/9. Data Transformation.mp4 126.4 MB
  • 5. Let's dig Machine Learning/1. Machine Learning Intro.mp4 124.7 MB
  • 3. Applied Statistics/8. Hypothesis Testing.mp4 112.7 MB
  • 3. Applied Statistics/7. Probability Distribution.mp4 99.6 MB
  • 2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 91.5 MB
[磁力链接] 添加时间:2022-02-23 大小:5.5 GB 最近下载:2025-10-23 热度:1213

[FreeCourseSite.com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.2 MB
  • 3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
  • 16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
  • 7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
  • 3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
  • 6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
  • 16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
  • 17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
  • 11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
  • 18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.3 MB
  • 13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
  • 15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
  • 17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
  • 3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
  • 11. Text Summarization/4. Text Summarization in Python.mp4 81.9 MB
  • 6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
  • 17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.9 MB
[磁力链接] 添加时间:2023-12-21 大小:7.2 GB 最近下载:2025-10-23 热度:3442

[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 81.6 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
  • 2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
  • 2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
  • 1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB
[磁力链接] 添加时间:2021-03-20 大小:3.2 GB 最近下载:2025-10-23 热度:1520

[ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip

  • [ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip 2.0 GB
[磁力链接] 添加时间:2021-03-12 大小:2.0 GB 最近下载:2025-10-23 热度:1913

[FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python

  • 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
  • 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
  • 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
  • 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
  • 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
  • 1. Introduction/2.1 ML Classification Package.zip 138.2 MB
  • 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
  • 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
  • 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
  • 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
  • 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
  • 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
  • 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
  • 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
  • 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
  • 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
  • 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
  • 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
  • 1. Introduction/5. Course Overview.mp4 99.5 MB
  • 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
[磁力链接] 添加时间:2021-03-11 大小:6.1 GB 最近下载:2025-10-23 热度:1307

[ FreeCourseWeb.com ] Udemy - Learning Path- Python-Data Visualization with Matplotlib 2.x.zip

  • [ FreeCourseWeb.com ] Udemy - Learning Path- Python-Data Visualization with Matplotlib 2.x.zip 1.3 GB
[磁力链接] 添加时间:2021-03-17 大小:1.3 GB 最近下载:2025-10-22 热度:789

[Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python

  • 18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 323.8 MB
  • 9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 247.8 MB
  • 18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 201.4 MB
  • 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 143.0 MB
  • 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 141.5 MB
  • 2. Review/6. Review Code (pt 2).mp4 133.0 MB
  • 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 115.9 MB
  • 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
  • 9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 106.9 MB
  • 11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 101.8 MB
  • 11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 100.9 MB
  • 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 98.1 MB
  • 15. PyTorch/1. PyTorch Basics.mp4 87.9 MB
  • 13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 80.0 MB
  • 5. Choosing Hyperparameters/3. Grid Search in Code.mp4 71.8 MB
  • 13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 69.7 MB
  • 7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 68.5 MB
  • 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 63.1 MB
  • 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 60.4 MB
  • 4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1).mp4 57.8 MB
[磁力链接] 添加时间:2022-02-18 大小:4.0 GB 最近下载:2025-10-22 热度:640

[ FreeCourseWeb.com ] Udemy - Machine Learning & Data Science Bootcamp with R & Python (07 - 2021)

  • ~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/001 Demo - [without voice].mp4 449.1 MB
  • ~Get Your Files Here !/07 Convolutional Neural Networks - CNN/001 How to Develop a CNN From Scratch for CIFAR-10 Photo Classification.mp4 415.1 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/002 Univariate Linear regression Part 2.mp4 298.5 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/003 Multivariate Linear Regression.mp4 222.1 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/005 K-Means clustering - Code walkthrough with Theory & Practical.mp4 157.3 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/004 Logistic regression.mp4 157.1 MB
  • ~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/002 Demonstration with Step by step Guidance [With voice].mp4 141.8 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/001 Univariate Linear regression Part 1.mp4 141.1 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/005 Naive Bayes Classifier.mp4 130.6 MB
  • ~Get Your Files Here !/06 Implementing a ANN with R programming _ R Studio/001 Implementing a ANN with R programming _ R Studio.mp4 126.8 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/001 Clustering _ Lecture Part 1.mp4 93.8 MB
  • ~Get Your Files Here !/01 Introduction/007 Classification _ Definition.mp4 88.7 MB
  • ~Get Your Files Here !/01 Introduction/003 What is Machine Learning.mp4 84.8 MB
  • ~Get Your Files Here !/02 Setting up the Environment for Machine Learning - R language and R studio/001 Installing R and R studio.mp4 79.6 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/003 What is clustering in Machine Learning.mp4 73.0 MB
  • ~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/001 Installing Python and Pycharm IDE.mp4 49.4 MB
  • ~Get Your Files Here !/01 Introduction/005 Steps to Solve a Data Mining & Machine Learning Problem.mp4 48.4 MB
  • ~Get Your Files Here !/01 Introduction/001 Why we need Data Mining & Machine Learning.mp4 45.3 MB
  • ~Get Your Files Here !/01 Introduction/008 Clustering _ Definition.mp4 38.9 MB
  • ~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/002 Setting up the Environment _ Anaconda.mp4 38.1 MB
[磁力链接] 添加时间:2024-04-20 大小:3.0 GB 最近下载:2025-10-22 热度:1780

[FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python

  • 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
  • 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
  • 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
  • 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
  • 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
  • 1. Introduction/2.1 ML Classification Package.zip 138.2 MB
  • 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
  • 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
  • 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
  • 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
  • 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
  • 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
  • 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
  • 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
  • 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
  • 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
  • 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
  • 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
  • 1. Introduction/5. Course Overview.mp4 99.5 MB
  • 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
[磁力链接] 添加时间:2024-10-07 大小:6.1 GB 最近下载:2025-10-22 热度:130

[DesireCourse.Com] Udemy - Deep Learning Convolutional Neural Networks in Python

  • [DesireCourse.Com] Udemy - Deep Learning Convolutional Neural Networks in Python.zip 943.9 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-09-17 大小:943.9 MB 最近下载:2025-10-22 热度:2277

Data Science Supervised Machine Learning in Python

  • Data Science Supervised Machine Learning in Python.zip 906.5 MB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-04-03 大小:906.5 MB 最近下载:2025-10-22 热度:1952

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

  • 6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 1. Welcome/4. Anyone Can Succeed in this Course.mp4 88.1 MB
  • 7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
  • 1. Welcome/1. Welcome.mp4 52.1 MB
  • 6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • 3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
  • 8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • 2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • 7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • 4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • 2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
  • 2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
  • 8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.4 MB
  • 4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
[磁力链接] 添加时间:2021-04-01 大小:1.2 GB 最近下载:2025-10-22 热度:552


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