705.06 MB | 00:23:56 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 1 What Is PyTorch Up and Running with PyTorch.mp4 (17.95 MB)
1 10 Working with Devices Up and Running with PyTorch.mp4 (53.55 MB)
1 11 Components of a Learning Algorithm Up and Running with.mp4 (23.52 MB)
1 12 Introduction to Gradient Descent Up and Running with Py.mp4 (25.4 MB)
1 13 Getting to Stochastic Gradient Descent (SGD) Up and Run.mp4 (15.58 MB)
1 14 Comparing Gradient Descent and SGD Up and Running with.mp4 (30.34 MB)
1 15 Linear Regression with PyTorch Up and Running with PyTo.mp4 (130.23 MB)
1 16 Perceptrons and Neurons Up and Running with PyTorch.mp4 (32.76 MB)
1 17 Layers and Activations with torch nn Up and Running wit.mp4 (65.03 MB)
1 18 Multi-layer Feedforward Neural Networks (MLP) Up and Ru.mp4 (46.85 MB)
1 2 The PyTorch Layer Cake Up and Running with PyTorch.mp4 (36.46 MB)
1 3 The Deep Learning Software Trilemma Up and Running with.mp4 (23.74 MB)
1 4 What Are Tensors, Really Up and Running with PyTorch.mp4 (22.7 MB)
1 5 Tensors in PyTorch Up and Running with PyTorch.mp4 (39.98 MB)
1 6 Introduction to Computational Graphs Up and Running with.mp4 (25.16 MB)
1 7 Backpropagation Is Just the Chain Rule Up and Running wi.mp4 (34.89 MB)
1 8 Effortless Backpropagation with torch autograd Up and Ru.mp4 (56.75 MB)
1 9 PyTorch's Device Abstraction (i e , GPUs) Up and Running.mp4 (12.43 MB)
Up and Running with PyTorch Introduction Up and Running with.mp4 (9.33 MB)
Up and Running with PyTorch Summary Up and Running with PyTo.mp4 (2.42 MB)]
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