PyTorch Tutorial is designed for both beginners and professionals. Our Tutorial provides all the basic and advanced concepts of Deep learning, such as deep neural network and image processing.
PyTorch is a framework of deep learning, and it is a Python machine learning package based on Torch. This tutorial is designed in such a way that we can easily implement deep learning project on PyTorch in a very efficient way.
Prerequisite
PyTorch is completely based on Python. So, it is essential to have basic knowledge of Python to implement the PyTorch project. Good understanding of basic mathematics allows us to understand the concept of PyTorch better.
Audience
This tutorial is helpful for those students who are interested in gaining the knowledge of how deep learning projects are implemented on PyTorch framework. This tutorial covers all the basics of PyTorch and how deep neural networks are implemented and use in the development of deep learning project.
Problems
We assure that you will not find any problem with this PyTorch Tutorial. But if there is any mistake, please post the problem in the contact form.
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