Introduction to Deep Learning Using PyTorch

This video will serve as an introduction to PyTorch, a dynamic, deep learning framework in Python. In this video, you will learn to create simple neural networks, which are the backbone of artificial intelligence. We will start with fundamental concepts of deep learning (including feed forward networks, back-propagation, loss functions, etc.) and then dive into using PyTorch tensors to easily create our networks. Finally, we will CUDA render our code in order to be GPU-compatible for even faster model training.

What you’ll learn—and how you can apply it

Deep learning basics and you can apply it to your domain (X + AI)
PyTorch platform basics and you can apply it to any deep learning problem
CUDA rendering, which will allow you to train your networks very quickly

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