Introduction to PyTorch in a practical way with MNIST
In this tutorial, you will learn how to use PyTorch to classify MNIST digits with convolutional neural networks. PyTorch is an open-source machine-learning library widely used for deep-learning applications. This tutorial will guide you through the process of building a simple digit (MNIST) classifier using PyTorch.
This tutorial will cover two main parts: setting up the environment, loading the dataset, and defining and training the model. We will also discuss the differences between PyTorch and TensorFlow, including PyTorch's flexibility, pre-built models, and better documentation.
Whether you are transitioning from TensorFlow to PyTorch or starting from scratch, this tutorial will help you get started with PyTorch for deep learning applications.
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#torch #machinelearning #python #tensorflow #opencv
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