FreeCoursesOnline Me Packt PyTorch Deep Learning in 7 Days FCO

1. 01.Getting started with PyTorch/0101.The Course overview.mp423.54MB
2. 01.Getting started with PyTorch/0102.Quick Intro to PyTorch.mp431.78MB
3. 01.Getting started with PyTorch/0103.Installation and Jupyter Notebook Setup.mp413.89MB
4. 01.Getting started with PyTorch/0104.Tensors and Basic Tensor Operations.mp4129.13MB
5. 01.Getting started with PyTorch/0105.Advanced Tensor Operations.mp426.74MB
6. 01.Getting started with PyTorch/0106.Loading and Saving Data.mp415.11MB
7. 01.Getting started with PyTorch/0107.Assignment.mp44.08MB
8. 02.Building a Neural Network/0201.Introduction to Neural Networks.mp413.58MB
9. 02.Building a Neural Network/0202.Creating a Neural Network with PyTorch Sequential.mp480.42MB
10. 02.Building a Neural Network/0203.Activations, Loss Functions, and Gradients.mp473.73MB
11. 02.Building a Neural Network/0204.Forward and Backward Passes.mp469.76MB
12. 02.Building a Neural Network/0205.Building a Network with nn.Module.mp4137.26MB
13. 02.Building a Neural Network/0206.Assignment.mp42.98MB
14. 03.Regression and Classification/0301.Loading Structured Data for Classification.mp497.33MB
15. 03.Regression and Classification/0302.Preprocessing Data.mp480.24MB
16. 03.Regression and Classification/0303.Classification, Accuracy, and the Confusion Matrix.mp418.35MB
17. 03.Regression and Classification/0304.Loading Structured Data for Regression.mp4107.09MB
18. 03.Regression and Classification/0305.Neural Networks for Regression.mp474.95MB
19. 03.Regression and Classification/0306.Assignment.mp42.28MB
20. 04.Implementing Convolutional Neural Networks/0401.Convolutional Networks for Image Analysis.mp412.3MB
21. 04.Implementing Convolutional Neural Networks/0402.Convolutional Concepts Filters, Strides, Padding, and Pooling.mp45.94MB
22. 04.Implementing Convolutional Neural Networks/0403.Implementing a Convolutional Network.mp413.13MB
23. 04.Implementing Convolutional Neural Networks/0404.Visualizing Convolutional Network Layers.mp414.16MB
24. 04.Implementing Convolutional Neural Networks/0405.Implementing an End-To-End Deep Convolutional Network.mp413.06MB
25. 04.Implementing Convolutional Neural Networks/0406.Assignment.mp4513.72KB
26. 05.Implementing Transfer Learning/0501.Transfer Learning and Prebuilt Models.mp45.44MB
27. 05.Implementing Transfer Learning/0502.Deep Learning with VGG.mp411.39MB
28. 05.Implementing Transfer Learning/0503.Transfer Learning with VGG.mp415.63MB
29. 05.Implementing Transfer Learning/0504.Transfer Learning with ResNet.mp424.38MB
30. 05.Implementing Transfer Learning/0505.Assignment.mp4902.64KB
31. 06.LSTM and Embedding for Natural Language Models/0601.Recurrent Networks, RNN, and LSTM, GRU.mp48.32MB
32. 06.LSTM and Embedding for Natural Language Models/0602.Text Modeling with Bag-of-Words.mp47.88MB
33. 06.LSTM and Embedding for Natural Language Models/0603.Sentiment Analysis with Bag-of-Words.mp416.05MB
34. 06.LSTM and Embedding for Natural Language Models/0604.Sentiment Analysis with Word Embeddings.mp425.73MB
35. 06.LSTM and Embedding for Natural Language Models/0605.Assignment.mp4631.75KB
36. 07.Deep Convolutional Generative Adversarial Networks/0701.Introduction to GANs and DCGANs.mp418.27MB
37. 07.Deep Convolutional Generative Adversarial Networks/0702.Implementing DCGAN Model with PyTorch.mp414.51MB
38. 07.Deep Convolutional Generative Adversarial Networks/0703.Training and Evaluating DCGAN on an Image Dataset.mp433.02MB
39. 07.Deep Convolutional Generative Adversarial Networks/0704.Improving Performance.mp437.91MB
40. 07.Deep Convolutional Generative Adversarial Networks/0705.Assignment.mp418.17MB