Introducing Deep Learning and Neural Networks — Deep Learning for Rookies — from medium.com by Nahua Kang

Excerpts:

Here’s a short list of general tasks that deep learning can perform in real situations:

  1. Identify faces (or more generally image categorization)
  2. Read handwritten digits and texts
  3. Recognize speech (no more transcribing interviews yourself)
  4. Translate languages
  5. Play computer games
  6. Control self-driving cars (and other types of robots)

And there’s more. Just pause for a second and imagine all the things that deep learning could achieve. It’s amazing and perhaps a bit scary!

…

Currently there are already many great courses, tutorials, and books on the internet covering this topic, such as (not exhaustive or in specific order):

  1. Michael Nielsen’s Neural Networks and Deep Learning
  2. Geoffrey Hinton’s Neural Networks for Machine Learning
  3. Goodfellow, Bengio, & Courville’s Deep Learning
  4. Ian Trask’s Grokking Deep Learning,
  5. Francois Chollet’s Deep Learning with Python
  6. Udacity’s Deep Learning Nanodegree (not free but high quality)
  7. Udemy’s Deep Learning A-Z ($10–$15)
  8. Stanford’s CS231n and CS224n
  9. Siraj Raval’s YouTube channel

The list goes on and on. David Venturi has a post for freeCodeCamp that lists many more resources. Check it out here.