Real-World Python Deep Learning Projects [Video]

More Information
  • Build a solid understanding of common problems can you solve with Deep Learning
  • Use different Deep Learning algorithms to solve specific types of problem and learn their strengths and weaknesses,
  • Develop a clear understanding of how Deep Learning tools work and what you need to know to use them in practice 
  • Discover the practical pros and cons of using Deep Learning 
  • Save time by learning practical Deep Learning methods that you can immediately apply to real-world problems.

Deep Learning allows you to solve problems where traditional Machine Learning methods might perform poorly: detecting and extracting objects from images, extracting meaning from text, and predicting outcomes based on complex dependencies, to name a few. In this course you will learn how to use Deep Learning in practice by going through real-world examples.

You will start of by creating neural networks to predict the demand for airline travel in the future. Then, you'll run through a scenario where you have to identify negative tweets for a celebrity by using Convolutional Neural Networks (CNN's). Next you will create a neural network which will be able to identify smiles in your camera app. Finally, the last project will help you forecast a company's stock prices for the next day using Deep Learning.

By the end of this course, you will have a solid understanding of Deep Learning and the ability to build your own Deep Learning models.

The code bundle for this video course is available at -

Style and Approach

This course will teach you Deep Learning using easy-to-understand, practical, and clear examples. Each Deep Learning use case is based on a real-world dataset.

  • Explore the practical essence of Deep Learning in a relatively short amount of time by working on practical, real-world use cases. 
  • Learn which classes of problem Deep Learning is most effective in solving
  • Work with the best tools to get started with Deep Learning in your real-life projects
Course Length 3 hours 50 minutes
ISBN 9781788620161
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