Deep Learning and Neural Networks in PyTorch for Beginners

Getting started with neural networks in PyTorch – Facebook’s great neural network framework

Artificial intelligence (AI) is the hottest topic currently out there, there’s no doubt about that. This is the future. Neural networks in particular have seen a lot of attention and they will be used everywhere -self driving cars, predictions in finance and sales forecasts – everywhere and across all industries. To be successful in the working world of tomorrow we have to expose ourselves to this interesting topic – and from the author’s personal experience – coding your own neural network is the best way to understand how they work. Besides TensorFlow there is a new very interesting deep learning framework which is developed by Facebook – PyTorch. A challenge? Indeed. But together we can do it. Excited? I hope so. See you in the first lecture. Let’s get into it.

What You Will Learn

You will learn the PyTorch fundamentals
You will find out how to code a deep neural network in Python
You will come to know what learning in neural networks means
You will be able to code a convolutional neural network in Python
If you have taken my neural networks in TensorFlow course you can compare both frameworks (TensorFlow and PyTorch)