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[FreeCourseLab.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

  • 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
  • 4. Image Processing/5. Image Thresholding.mp4 145.0 MB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
  • 4. Image Processing/9. Gradients.mp4 118.9 MB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
  • 4. Image Processing/8. Morphological Operators.mp4 101.5 MB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
[磁力链接] 添加时间:2021-03-23 大小:6.2 GB 最近下载:2025-10-30 热度:1823

Modern Deep Learning in Python

  • Modern Deep Learning in Python/17. Appendix/4. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • Modern Deep Learning in Python/15. PyTorch/1. PyTorch Basics.mp4 122.5 MB
  • Modern Deep Learning in Python/17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • Modern Deep Learning in Python/17. Appendix/2. What's the difference between neural networks and deep learning.mp4 47.3 MB
  • Modern Deep Learning in Python/11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 46.1 MB
  • Modern Deep Learning in Python/17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • Modern Deep Learning in Python/17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • Modern Deep Learning in Python/14. Keras/3. Keras Functional API.mp4 40.5 MB
  • Modern Deep Learning in Python/17. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
  • Modern Deep Learning in Python/11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 39.2 MB
  • Modern Deep Learning in Python/15. PyTorch/3. PyTorch Batch Norm.mp4 35.5 MB
  • Modern Deep Learning in Python/15. PyTorch/2. PyTorch Dropout.mp4 34.3 MB
  • Modern Deep Learning in Python/17. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
  • Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
  • Modern Deep Learning in Python/17. Appendix/7. How to Code by Yourself (part 1).mp4 25.7 MB
  • Modern Deep Learning in Python/8. TensorFlow/2. Building a neural network in TensorFlow.mp4 25.0 MB
  • Modern Deep Learning in Python/8. TensorFlow/3. What is a Session (And more).mp4 24.7 MB
  • Modern Deep Learning in Python/2. Review/1. Review of Basic Concepts.mp4 24.5 MB
  • Modern Deep Learning in Python/12. Modern Regularization Techniques/2. Dropout Regularization.mp4 23.8 MB
  • Modern Deep Learning in Python/7. Theano/2. Building a neural network in Theano.mp4 22.8 MB
[磁力链接] 添加时间:2021-03-23 大小:1.6 GB 最近下载:2025-11-03 热度:2328

[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

  • 1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
  • 1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
  • 6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
  • 7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
  • 8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt 47.1 MB
  • 10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
  • 5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
  • 9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
  • 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
  • 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
  • 8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
  • 8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
  • 7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
  • 8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.8 MB
  • 8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
  • 9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
  • 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.4 MB
  • 6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
  • 4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
  • 6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
[磁力链接] 添加时间:2021-03-23 大小:2.5 GB 最近下载:2025-10-04 热度:986

[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
  • 18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
  • 26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
  • 27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
  • 34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
  • 37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
  • 5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
  • 37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
  • 23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
  • 7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
  • 14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
  • 35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2021-03-23 大小:14.1 GB 最近下载:2025-06-16 热度:505

[FreeAllCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

  • 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • 1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • 2. Numpy (New)/5. Matrices.mp4 60.0 MB
  • 2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • 4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • 6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
  • 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
  • 6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
  • 2. Numpy (New)/3. Dot Product.mp4 27.6 MB
  • 1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
  • 2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
  • 4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
  • 5. Scipy (New)/3. Convolution.mp4 22.5 MB
  • 6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
  • 3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
[磁力链接] 添加时间:2021-03-22 大小:1.2 GB 最近下载:2025-06-26 热度:75

[FreeCoursesOnline.Me] [Packt] Troubleshooting Python Deep Learning [FCO]

  • 1. Solutions to Convolutional Neural Network Problems – Part One_/02.Concatenate Two CNNs Correctly.mp4 77.6 MB
  • 1. Solutions to Convolutional Neural Network Problems – Part One_/01.The Course Overview.mp4 39.5 MB
  • 6. Solving NumPy Problems_/44.Turn ND Matrix Into 1D Vector.mp4 31.5 MB
  • 6. Solving NumPy Problems_/43.Fix load.npy Error in Python3.mp4 17.3 MB
  • 4.Solutions to LSTM Recurrent Neural Networks Problems/27.Working with Different Lengths of Input and Output Sequences.mp4 16.4 MB
  • 1. Solutions to Convolutional Neural Network Problems – Part One_/03.Splitting Trained Model.mp4 13.8 MB
  • 3. Solutions to Recurrent Neural Network Problems_/19.Wrong Input - ValueError – Error When Checking Input.mp4 13.8 MB
  • 5. Troubleshooting Models with scikit-learn_/35.Handling Missing Values.mp4 13.3 MB
  • 4.Solutions to LSTM Recurrent Neural Networks Problems/32.How To Do Text Classification with LSTM.mp4 11.9 MB
  • 1. Solutions to Convolutional Neural Network Problems – Part One_/06.High val_acc, But Low Accuracy in Practice.mp4 11.6 MB
  • 3. Solutions to Recurrent Neural Network Problems_/20.Correct Text Preparation for Machine Translation.mp4 11.0 MB
  • 5. Troubleshooting Models with scikit-learn_/37.Fixing Warning Messages.mp4 10.8 MB
  • 2. Solutions to Convolutional Neural Network Problems – Part Two_/11.Interpreting kernel_size Notation in CNNs.mp4 10.4 MB
  • 3. Solutions to Recurrent Neural Network Problems_/24.Preparing Data Correctly for Time Series Prediction.mp4 10.1 MB
  • 4.Solutions to LSTM Recurrent Neural Networks Problems/26.Stacking Multiple LSTM in Keras TypeError - Call() Got an Unexpected Keyword Argument 'return_sequences'.mp4 10.1 MB
  • 2. Solutions to Convolutional Neural Network Problems – Part Two_/13.Using Validation Accuracy.mp4 9.3 MB
  • 5. Troubleshooting Models with scikit-learn_/36.Evaluating Deep Learning Models Using Additional Metrics.mp4 9.1 MB
  • 2. Solutions to Convolutional Neural Network Problems – Part Two_/17.Shape Error When Training CIFAR-10 Dataset on CNN.mp4 9.1 MB
  • 6. Solving NumPy Problems_/41.Converting a 2D Matrix to a One-Hot Encoded Matrix.mp4 9.0 MB
  • 4.Solutions to LSTM Recurrent Neural Networks Problems/29.Using CNN-LSTM for Time Series Prediction.mp4 8.9 MB
[磁力链接] 添加时间:2021-03-22 大小:511.1 MB 最近下载:2025-10-25 热度:1475

[ FreeCourseWeb.com ] Udemy - 2021 - Algorithmic Trading with Machine Learning in Python.zip

  • [ FreeCourseWeb.com ] Udemy - 2021 - Algorithmic Trading with Machine Learning in Python.zip 4.1 GB
[磁力链接] 添加时间:2021-03-22 大小:4.1 GB 最近下载:2025-11-04 热度:4528

[FTUForum.com] [UDEMY] Master Computer Vision™ OpenCV4 in Python with Deep Learning [FTU]

  • 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/9.1 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
  • 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
  • 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.vtt 78.0 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
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4 66.4 MB
  • 8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/5. Activation Functions.mp4 62.6 MB
  • 13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/6. Training Part 1 – Loss Functions.mp4 61.3 MB
[磁力链接] 添加时间:2021-03-22 大小:3.9 GB 最近下载:2025-11-01 热度:1345

Learning Data Structures & Algorithms in Python from Scratch

  • Learning Data Structures & Algorithms in Python from Scratch.zip 1.9 GB
  • 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:2021-03-22 大小:1.9 GB 最近下载:2025-11-01 热度:3635

[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip

  • [ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip 773.2 MB
[磁力链接] 添加时间:2021-03-22 大小:773.2 MB 最近下载:2025-10-28 热度:351

Deep Learning Prerequisites The Numpy Stack in Python

  • Deep Learning Prerequisites The Numpy Stack in Python.zip 562.7 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:2021-03-22 大小:562.7 MB 最近下载:2025-11-01 热度:2615

GetFreeCourses.Me-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:2021-03-22 大小:5.5 GB 最近下载:2025-11-01 热度:6663

[FreeCourseSite.com] Udemy - Unsupervised Deep Learning in Python

  • 12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4 134.8 MB
  • 9. Applications to Recommender Systems/5. AutoRec in Code.mp4 107.3 MB
  • 10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
  • 10. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
  • 10. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
  • 9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt 87.0 MB
  • 9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4 87.0 MB
  • 10. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
  • 12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
  • 9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4 71.5 MB
  • 10. Basics Review/6. (Review) Keras in Code pt 1.mp4 69.4 MB
  • 2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4 56.3 MB
  • 2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4 53.8 MB
  • 2. Principal Components Analysis/2. How does PCA work.mp4 53.4 MB
  • 5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4 51.5 MB
  • 9. Applications to Recommender Systems/4. AutoRec.mp4 51.3 MB
  • 5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4 50.1 MB
[磁力链接] 添加时间:2021-03-21 大小:3.1 GB 最近下载:2025-10-27 热度:1405

[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-21 大小:6.4 GB 最近下载:2025-10-22 热度:1174

[Tutorialsplanet.NET] Udemy - GAdvanced 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/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/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
  • 2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.4 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
  • 2. The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4 46.7 MB
[磁力链接] 添加时间:2021-03-21 大小:3.1 GB 最近下载:2025-10-26 热度:190

Curso completo de Machine Learning Data Science en Python - COMPLETO

  • 8. Regresión logística con Python/7. Estimación con el método de máxima verosimilitud.mp4 476.4 MB
  • 8. Regresión logística con Python/8. Crear un modelo logístico desde cero.mp4 461.6 MB
  • 9. Clustering y clasificación/2. ¿Qué es y para qué sirve el clustering.mp4 347.6 MB
  • 7. Regresión lineal con Python/19. Transformar las variables en relaciones no lineales.mp4 333.6 MB
  • 14. Análisis de componentes principales/3. Demostración de cómo se hace un ACP.mp4 325.2 MB
  • 10. Árboles y bosques aleatorios/5. Algoritmos para la generación de árboles de clasificación.mp4 323.2 MB
  • 11. Máquinas de Soporte Vectorial/14. Práctica de SVM reconocimiento facial a lo CSI.mp4 322.4 MB
  • 9. Clustering y clasificación/3. El concepto de distancia.mp4 320.8 MB
  • 8. Regresión logística con Python/9. Análisis exploratorio de los datos.mp4 315.2 MB
  • 9. Clustering y clasificación/17. Implementando la técnica del codo y el coeficiente de la silueta.mp4 313.1 MB
  • 10. Árboles y bosques aleatorios/4. Entropía y ganancia de Información.mp4 310.3 MB
  • 7. Regresión lineal con Python/16. Variables categóricas en una regresión lineal.mp4 298.3 MB
  • 8. Regresión logística con Python/16. Implementación de las curvas ROC en Python.mp4 296.5 MB
  • 15. Introducción a las redes neuronales y al deep learning con TensorFlow/7. La carga del dataset de imágenes.mp4 295.8 MB
  • 7. Regresión lineal con Python/5. Sumas de los cuadrados totales, de las diferencias y de la regresión.mp4 294.4 MB
  • 11. Máquinas de Soporte Vectorial/3. El problema de clasificación no óptimo.mp4 286.7 MB
  • 11. Máquinas de Soporte Vectorial/15. Práctica de SVM Clasificación de las flores de Iris.mp4 281.7 MB
  • 14. Análisis de componentes principales/6. Plotly, la librería de gráficos personalizados e interactivos.mp4 280.2 MB
  • 9. Clustering y clasificación/10. Un clustering completo por donde cortamos el dendrograma.mp4 275.9 MB
  • 9. Clustering y clasificación/6. Uniendo datos manualmente.mp4 265.8 MB
[磁力链接] 添加时间:2021-03-21 大小:28.0 GB 最近下载:2025-10-30 热度:1348

[ FreeCourseWeb.com ] Lynda - SQL Server Machine Learning Services- Python.zip

  • [ FreeCourseWeb.com ] Lynda - SQL Server Machine Learning Services- Python.zip 377.4 MB
[磁力链接] 添加时间:2021-03-21 大小:377.4 MB 最近下载:2025-10-29 热度:928

[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python

  • 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
  • 2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
  • 2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
  • 10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
  • 10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
  • 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
  • 11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
  • 11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
  • 1. Welcome/1. Introduction.mp4 35.9 MB
  • 2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB
[磁力链接] 添加时间:2021-03-21 大小:2.0 GB 最近下载:2025-11-03 热度:1893

[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 11 - 2020).zip

  • [ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 11 - 2020).zip 1.9 GB
[磁力链接] 添加时间:2021-03-20 大小:1.9 GB 最近下载:2025-01-02 热度:98

[ FreeCourseWeb.com ] Udemy - [2020] Python tutorial from Zero to Hero - + Machine Learning.zip

  • [ FreeCourseWeb.com ] Udemy - [2020] Python tutorial from Zero to Hero - + Machine Learning.zip 2.0 GB
[磁力链接] 添加时间:2021-03-20 大小:2.0 GB 最近下载:2025-11-03 热度:811


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