- Learning resources: Structures list of videos, tutorials, courses on AI, cognitive computing and deep learning
- Learn AI: another link to various AI related resources
- Tutorials and best data scientists to follow (2015)
- deeplearning.net
- Awesome deep learning
- List of best blogs to follow (2015)
- Deep learning tutorial from Stanford
- Deep learning in a nutshell:
- Deep learning lectures:

## Papers:

- Deep Learning in Neural Networks: An Overview (2014). Schmidhuber provides all the background needed to gain an overview of deep learning.

## Courses:

- Machine learning 2014-2015 by Nando de Freitas. This course uses the Torch framewok.
- ML class 10-701 (2015) by Alex Smola
- Deep learning course (2015) from Nvidia
- Deep learning tutorial from Stanford
- Convolutional neural networks for visual recognition (a Stanford course)
- Deep learning @ udacity – Teach deep learning with TensorFlow

## Videos

- Neural Network training
- Getting started with Neural Networks – A set of small lectures by Hugo Larochelle. See also the companion web site

- Blogs
- Colah’s blog – mainly about neural networks

- Books
- In preparation – can read pre-release online by Ian Goodfellow, Aaron Courville, and Yoshua Bengio
- Bishop’s book: Pattern recognition and machine learning
- Understanding machine learning by Shai Ben-David and Shai Shalev Shwartz
- Elements of statistical learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman
- Probability cheat sheet
- 16 free data science books (2015)

- Pod casts
- Data sets
- Nice posts
**Back-propagation:**- Calculus on computational graphs – A nice and clear explanation
- Gradient Descent with Backpropagation – Explanation with Python code