Overview:

Relatively obscure a few short years ago, Deep Learning is ubiquitous today across data-driven applications as diverse as machine vision, natural language processing, and super-human game-playing.

This Deep Learning primer brings the revolutionary machine-learning approach behind contemporary artificial intelligence to life with interactive demos featuring Keras, the leading high-level Deep Learning library.

To facilitate an intuitive understanding of Deep Learning’s artificial-neural-network foundations, essential theory will be introduced visually and pragmatically. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in straightforward Jupyter notebooks, this foundational knowledge empowers you to build powerful state-of-the-art Deep Learning models.

Duration: 

40 hours

Course Objectives:

Upon completion of this course, you will be able to:

• Understand the language and fundamentals of artificial neural networks
• Straightforwardly build TensorFlow Deep Learning models using the Keras API
• Interpret the output of Deep Learning models to troubleshoot and improve results

Intended Audience:

• You work with data and want to be exposed to the range of applications of Deep Learning approaches.
• You want to understand how Deep Learning works.
• You want to create machine-learning models well-suited to solving a broad range of problems, including complex, non-linear problems with large, high-dimensional data sets.

Prerequisites:

• Experience analyzing data in Python
• If you’re the kind of person who likes to be extra-prepared or you can’t wait to get started with Deep Learning

Course outlines:

1.      Module 1: The Unreasonable Effectiveness of Deep Learning

• Training Overview
• Introduction to Neural Networks and Deep Learning
• The Deep Learning Families and Libraries

2.      Module 2: Essential Deep Learning Theory

• The Cart Before the Horse: A Shallow Neural Network in Keras
• Learning with Artificial Neurons
• TensorFlow Playground—Visualizing a Deep Net in Action

3.      Module 3: Deep Learning with Keras, TensorFlow’s High-Level API

• Revisiting our Shallow Neural Network
• Deep Nets in Keras
• What to Study Next, Depending on Your Interests