Learning Path

Get started with deep learning

Explore this branch of machine learning that's trained on large amounts of data and deals with computational units working in tandem to perform predictions

Overview

This learning path is designed for anyone interested in getting familiar with and exploring deep learning topics. Currently, the learning path covers the fundamentals of deep learning, but will be enhanced in the future to cover supervised and unsupervised deep learning concepts.

Deep learning fundamentals

Discover how deep learning is related to machine learning, explore its fundamentals, and look at the advantages of using deep learning algorithms in certain applications.

Skill level

Beginner

Estimated time to complete

Approximately 2 hours.

Learning objectives

With this learning path, you get:

  • An understanding of deep learning concepts
  • An understanding of deep learning architectures
  • A comparison of deep learning frameworks
  • How to enable Eager Execution in TensorFlow
  • How to create a Jupyter Notebook that contains Python code for defining logistic regression, then use TensorFlow to implement it
  • An understanding of how to build neural networks without the help of the frameworks