Deep Learning Tutorials

Tutorials

http://cs231n.github.io/assets/conv-demo/index.html

VGG Convolutional Neural Networks Practical

http://www.robots.ox.ac.uk/~vgg/practicals/cnn/index.html

Hacker’s guide to Neural Networks

http://karpathy.github.io/neuralnets/

Deep Learning Tutorials

• website: http://deeplearning.net/tutorial/
• code: https://github.com/lisa-lab/DeepLearningTutorials

Deep Learning in a Nutshell: Core Concepts

http://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-core-concepts/

Deep Learning in a Nutshell: History and Training

http://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-history-training/

A Deep Learning Tutorial: From Perceptrons to Deep Networks

http://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks

Deep Neural Networks(with Python code)

• paper: http://scholarbank.nus.edu.sg/bitstream/handle/10635/120564/DeepNeuralNetworks.pdf?sequence=1

Three Classes of Deep Learning Architectures and Their Applications: A Tutorial Survey

• paper: http://research.microsoft.com/pubs/192937/Transactions-APSIPA.pdf

UFLDL Tutorial

http://ufldl.stanford.edu/tutorial/

The Unreasonable Effectiveness of Deep Learning (LeCun)

• slides: http://www.ee.ucl.ac.uk/sahd2014/resources/LeCun.pdf

Deep learning from the bottom up

• blog: https://www.metacademy.org/roadmaps/rgrosse/deep_learning

Introduction to Deep Learning with Python (By Alec Radford. Theano)

• youtube: https://www.youtube.com/watch?v=S75EdAcXHKk&hd=1

New to deep learning? Here are 4 easy lessons from Google

• blog: https://gigaom.com/2015/01/29/new-to-deep-learning-here-are-4-easy-lessons-from-google/

Deep Learning 101

• blog: http://markus.com/deep-learning-101/

Neural Networks Demystified

• Part 1: Data and Architecture: https://www.youtube.com/watch?v=bxe2T-V8XRs
• Part 2: Forward Propagation: https://www.youtube.com/watch?v=UJwK6jAStmg
• Part 3: Gradient Descent: https://www.youtube.com/watch?v=5u0jaA3qAGk
• Part 4: Backpropagation: https://www.youtube.com/watch?v=GlcnxUlrtek
• Part 5: Numerical Gradient Checking: https://www.youtube.com/watch?v=pHMzNW8Agq4
• Part 6: Training: https://www.youtube.com/watch?v=9KM9Td6RVgQ

• Part 7: Overfitting, Testing, and Regularization: https://www.youtube.com/watch?v=S4ZUwgesjS8

• all-pack: http://pan.baidu.com/s/1dDq5oNB

Deep Learning SIMPLIFIED

• playlist: https://www.youtube.com/playlist?list=PLjJh1vlSEYgvGod9wWiydumYl8hOXixNu

A ‘Brief’ History of Neural Nets and Deep Learning

• Part 1: http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/
• Part 2: http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-2/
• Part 3: http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-3/
• Part 4: http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-4/

Deep Neural Networks— An Overview

https://medium.com/@asjad/deep-neural-networks-an-overview-480112b12a13#.i7apzmnso

A Tutorial on Deep Neural Networks for Intelligent Systems

• arxiv: http://arxiv.org/abs/1603.07249

Deep Learning for Computer Vision – Introduction to Convolution Neural Networks

• blog: http://www.analyticsvidhya.com/blog/2016/04/deep-learning-computer-vision-introduction-convolution-neural-networks/