Learn PyTorch for Deep Learning from Scratch

Learn PyTorch for Deep Learning from Scratch is a workshop series consisting of three parts. In the first part, we presented deep learning fundamentals and how deep learning works. In the second part, we will illustrate a deep learning framework, PyTorch, and its workflow fundamentals. A standard PyTorch workflow includes data preparation, building a model/network, forming a training loop, and model evaluation/deployment. We will cover these steps one by one so that you can know how a model/network is learned in PyTorch.

October 11 - Part I: Deep Learning Fundamentals
October 18 - Part II: PyTorch Workflow Fundamentals
November 8 - Part III: A PyTorch Tutorial of Image Classification using Deep Learning

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