ArtificiaI Intelligence has been a topic of interest in the past and in the current years for the researchers and developers community. Many frameworks are emerging to allow both professionals and beginners to implement easily neural networks. PyTorch is one of them! So the idea came to me to write a tutorial for beginners wanting to learn about deep learning in using PyTorch.

What it does

This is a PyTorch tutorial intended only for beginners.

How I built it

The tutorial is divided into two parts: the first talks about deep learning concepts and the second focuses on the use of PyTorch. The goal is to help the beginner and any mathematical details have not been introduced to the tutorial. Also a very simple example has been treated as an application.

Challenges I ran into

It was difficult to write the tutorial since it is intended to beginner audience. We had to find a way to teach more easily without going into details, especially mathematics. Plus, the Python code had been simplified for a better comprehension.

Accomplishments that I'm proud of

I am proud to accomplish this project. It was a great pleasure for me to share my knowledge, to give first step to beginners so that they can progress in the field of deep learning.

What I learned

What's next for PyTorch tutorial for beginners

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