The Deep Learning Challenge [Video]

More Information
  • Learn how to approach a real-world Deep Learning problem in practice.
  • Solve each Deep Learning challenge via a step-by-step process.
  • Discover strength and weaknesses in your Deep Learning knowledge and skills.
  • Develop new and fresh perspectives on how to solve common problems in both Computer Vision and Natural Language Processing.
  • Discover how to use a variety of real-world datasets and neural network architectures in practice.

Deep Learning is a powerful set of modern Machine Learning methods that achieve excellent results in fields such as Computer Vision and Natural Language Processing. The goal of this course is to challenge you to take the most common problems that you see in those fields and test your Deep Learning skills using real-world examples.

The first part of the course is based on solving basic problems in Computer Vision and Natural Language Processing. Then, in the second part of the course, we focus on more complex challenges that use less common methods and components.

By the end of this course, you will know how to solve the most common Deep Learning problems in both the Computer Vision and Natural Language Processing fields

The code bundle for this video course is available at -

Style and Approach

This video course adopts a learning-by-example approach (with clear explanations to make sure that you grasp the key aspects of each challenge) and teaches you the processes underlying Deep Learning problem-solving.

  • Test your Deep Learning skills using a variety of real-world problems from both the Computer Vision and Natural Language Processing fields
  • Learn the “why” behind each solution and master a step-by-step process to solve any Deep Learning problem
  • Explore a variety of practical tools (such as Pandas, Keras, and Matplotlib) and use them to solve Deep Learning problems
Course Length 1 hour 47 minutes
ISBN 9781789801484
Date Of Publication 29 Mar 2019


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