Introduction to PyTorch in a practical way with MNIST
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In this tutorial, you will
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.
Text Version Tutorial: https://pylessons.com/pytorch-introdu...
GitHub: https://github.com/pythonlessons/mltu...
pypi: https://pypi.org/project/mltu/
#torch #machinelearning #python #tensorflow #opencv
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.
Text Version Tutorial: https://pylessons.com/pytorch-introdu...
GitHub: https://github.com/pythonlessons/mltu...
pypi: https://pypi.org/project/mltu/
#torch #machinelearning #python #tensorflow #opencv
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