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[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:2025-07-02 热度:973

[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

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[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

[ FreeCourseWeb.com ] Udemy - Deep Learning for Computer Vision with Tensor Flow and Keras.zip

[ FreeCourseWeb.com ] Udemy - Deep Learning for Computer Vision with Tensor Flow and Keras.zip 5.4 GB

[磁力链接] 添加时间:2021-03-22 大小:5.4 GB 最近下载:2025-06-28 热度:2738

[ FreeCourseWeb.com ] Udemy - Mastering Multiple Regression with Minitab - A Deep Dive.zip

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[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
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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
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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
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[磁力链接] 添加时间:2021-03-22 大小:3.9 GB 最近下载:2025-07-03 热度:1244

[ FreeCourseWeb.com ] Udemy - Reverse Engineering Deep Dive.zip

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[磁力链接] 添加时间:2021-03-22 大小:3.8 GB 最近下载:2025-07-04 热度:3414

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[磁力链接] 添加时间:2021-03-21 大小:692.4 MB 最近下载:2025-02-04 热度:263

[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:2025-06-25 热度:1372

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[ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip

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[磁力链接] 添加时间:2021-03-21 大小:2.6 GB 最近下载:2025-07-05 热度:1411