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Over the past couple of years, PyTorch has been increasing in popularity in the Deep Learning community. What was initially a tool for Deep Learning researchers has been making headway in industry settings. In this session, we will cover how to create Deep Neural Networks using the PyTorch framework on a variety of examples. The material will range from beginner - understanding what is going on “under the hood“, coding the layers of our networks, and implementing backpropagation - to more advanced material
