Understanding pyTorch
Develop an understanding in pyTorch step by step. We will first develop a simple neural network in python and then implement pyTorch functionalities step by step to make our code easier to understand, shorter and more flexible.
The main goal is to give you an overview of the great modules and classes which pyTorch provides and to help you understand what those modules and classes actually do.
This is a guided “hands on” course which means you should code along with me to get the most out of this course.
Basic knowledge of python and neural networks is recommended (We do not introduce the definition of a tensor here).
If you have prior experience in tensorflow you might also like to go through this course to decide for yourself whether pyTorch is the right deep learning framework for you
pyTorch is a great deep learning framework for pyTorch and develop a better understanding of how it works should help you to apply it to your own deep learning projects
If you are committed to learn then let’s get into it
Build smart language applications with the cutting-edge field of Deep Learning with PyTorch
3.2
★★★★★ 3.2/5
198 students
