Introduction to PyTorch in a Practical Way

Author(s): Rokas Liuberskis

Originally published on Towards AI.

In this tutorial, I’ll cover the basics of PyTorch, how to prepare a dataset, construct the network, define training and validation loops, save the model and finally test the saved model

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Welcome to my other introduction tutorial on PyTorch! In this tutorial, I will show you how to use PyTorch to classify MNIST digits with convolutional neural networks. In previous tutorials, I demonstrated basic concepts using TensorFlow. However, this time, I will focus on PyTorch and explain how to transition from TensorFlow to PyTorch or where to begin. Before I get into the details, I will introduce PyTorch and its features.

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Published via Towards AI