PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[Guvi.in] Deep Learning Course\DL#107 - Introduction to Pytorch

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1. Basics of Pytorch - Outline.ts36,487 KB12/12/2021 3:34 AM
10. FNNs using Pytorch - Forward Pass With Tensors.ts41,349 KB12/12/2021 3:34 AM
11. FNNs using Pytorch - Functions for Loss, Accuracy, Backpropagation.ts36,925 KB12/12/2021 3:34 AM
12. FNNs using Pytorch - PyTorch Modules - NN and Optim.ts23,486 KB12/12/2021 3:34 AM
13. FNNs using Pytorch - NN Sequential and Code Structure.ts23,387 KB12/12/2021 3:34 AM
14. FNNs using Pytorch - GPU Execution.ts42,838 KB12/12/2021 3:34 AM
15. FNNs using Pytorch - Exercises and Recap.ts14,258 KB12/12/2021 3:34 AM
2. Basics of Pytorch - PyTorch Tensors.ts29,780 KB12/12/2021 3:34 AM
3. Basics of Pytorch - Simple Tensor Operations.ts37,047 KB12/12/2021 3:34 AM
4. Basics of Pytorch - NumPy vs PyTorch.ts62,674 KB12/12/2021 3:34 AM
5. Basics of Pytorch - GPU PyTorch.ts42,529 KB12/12/2021 3:34 AM
6. Basics of Pytorch - Automatic Differentiation.ts47,273 KB12/12/2021 3:34 AM
7. Basics of Pytorch - Loss Function with AutoDiff.ts7,579 KB12/12/2021 3:34 AM
8. Basics of Pytorch - Learning Loop GPU.ts91,822 KB12/12/2021 3:34 AM
9. FNNs using Pytorch - Outline.ts16,899 KB12/12/2021 3:34 AM