More Information
  • Intuitive ways to build neural networks using the PyTorch API to make this deep learning ride enjoyable
  • Master PyTorch's unique features gradually as you work through projects that make PyTorch perfect for rapid prototyping
  • Debug your PyTorch code using standard Python tools, so you can easily fix bugs 
  • Work with PyTorch and learn its advantages over other frameworks, and choose the right vehicle for your deep-learning ride
  • Get practical, project-based experience with this popular and in-demand deep-learning library

Are you ready to go on a journey into the world of deep learning? This course will be your guide through the joys and dangers of this new wave of machine learning. Why? Because, let's face it, getting started with deep learning is difficult. Tasks such as choosing between multiple frameworks, understanding APIs, and debugging code are hard. Is there an another way? Yes. Meet PyTorch. Like Python, PyTorch has a clean and simple API, which makes building neural networks faster and easier. It's also modular, and that makes debugging your code a breeze. This course will be one hell of an adventure into the world of deep learning!

You'll start by using Convolutional Neural Networks (CNNs) to classify images; Recurrent Neural Networks (RNNs) to detect languages; and then translate them using Long-Term-Short Memory (LTSM). Finally, you'll channel your inner Picasso by using Deep Neural Network (DNN) to paint unique images.

By the end of your adventure, you will be ready to use PyTorch proficiently in your real-world projects.

The code bundle for this video course is available at -

Style and Approach

In this course, you will complete your deep-learning journey with a trusted guide and use PyTorch to build interesting and useful deep learning projects. In each example you will learn how to solve a specific, practical Machine Learning problem.

  • Dive into the world of deep learning with PyTorch by building interesting deep-learning projects
  • Enjoy your deep-learning journey and learn how to rapidly prototype your own neural networks in PyTorch
  • Throughout the course, discover the joy of building neural networks in a Pythonic way in each project
Course Length 2 hours 31 minutes
ISBN 9781789138641
Date Of Publication 31 Oct 2018


Jakub Konczyk

Jakub Konczyk has enjoyed and programmed professionally since 1995. He is a Python and Django expert and has been involved in building complex systems since 2006. He loves to simplify and teach programming subjects and share this with others. He first discovered Machine Learning when he was trying to predict the real estate prices in one of the early stage start-ups, he was involved in. He failed miserably then. He then discovered a much more practical way to learn Machine Learning, which he would like to share with you in this course. It boils down to the “Keep it simple” mantra. He is the author of multiple bestselling video courses on Machine Learning and Deep Learning, including Real-World Deep Learning Python Projects and AI in Finance. Learn more at