Up and Running with PyTorch By Jonathan Dinu

Up and Running with PyTorch begins with an introduction to PyTorch and deep learning frameworks in general. You learn how the combination of automatic differentiation and transparent computation on GPUs have really enabled the current explosion of deep learning research. The video shows how you can use PyTorch to implement and learn a linear regression model as a stepping stone to building much more complex neural networks. Finally, the video demonstrates how to combine all of the components that PyTorch provides to build a simple feedforward multi-layer perceptron.