Tutorials

Deep learning for NLP

https://github.com/andrewt3000/DL4NLP

Must-read Path-breaking Papers About Image Classification

http://blog.paralleldots.com/technology/deep-learning/must-read-path-breaking-papers-about-image-classification/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BGDVX8SqNSdyfDMVuryIbag%3D%3D

GAN (Ian Goodfellow)

https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Generative-Adversarial-Networks

LSTM NEURAL NETWORK FOR TIME SERIES PREDICTION

http://www.jakob-aungiers.com/articles/a/LSTM-Neural-Network-for-Time-Series-Prediction

Nuts and Bolts of Applying Deep Learning (Andrew Ng)

https://www.youtube.com/watch?v=F1ka6a13S9I&feature=youtu.be

The major advancements in Deep Learning in 2016

https://tryolabs.com/blog/2016/12/06/major-advancements-deep-learning-2016/

Evolution of Deep learning models

http://www.datasciencecentral.com/profiles/blogs/evolution-of-deep-learning-models

The Unreasonable Effectiveness of Recurrent Neural Networks

http://karpathy.github.io/2015/05/21/rnn-effectiveness/

The Evolution and Core Concepts of Deep Learning & Neural Networks

https://www.analyticsvidhya.com/blog/2016/08/evolution-core-concepts-deep-learning-neural-networks/

Fine-tuning a Keras model using Theano trained Neural Network & Introduction to Transfer Learning

https://www.analyticsvidhya.com/blog/2016/11/fine-tuning-a-keras-model-using-theano-trained-neural-network-introduction-to-transfer-learning/

THE NEURAL NETWORK ZOO

http://www.asimovinstitute.org/neural-network-zoo/

Machine Learning is Fun Part 6: How to do Speech Recognition with Deep Learning

https://medium.com/@ageitgey/machine-learning-is-fun-part-6-how-to-do-speech-recognition-with-deep-learning-28293c162f7a#.mzw2akj72

Understanding LSTM Networks

http://colah.github.io/posts/2015-08-Understanding-LSTMs/

The Anatomy of Deep Learning Frameworks

https://medium.com/@gokul_uf/the-anatomy-of-deep-learning-frameworks-46e2a7af5e47#.3518pw6yt

Neural Networks and Deep Learning (Book)

http://neuralnetworksanddeeplearning.com/

Understanding Gradient Descent

http://iamtrask.github.io/2015/07/27/python-network-part2/

Papers:

Awesome - Most Cited Deep Learning Papers

Improved Representation Learning for Question Answer Matching

CAN AI GENERATE LOVE ADVICE?: TOWARD NEURAL ANSWER GENERATION FOR NON-FACTOID QUESTIONS

Courses:

Deep learning for complete beginners: neural network fine-tuning techniques

http://online.cambridgecoding.com/notebooks/cca_admin/neural-networks-tuning-techniques

Fast.ai course

http://course.fast.ai/start.html

Article on different courses

This article includes the courses listed above and expands on them: https://medium.freecodecamp.com/dive-into-deep-learning-with-these-23-online-courses-bf247d289cc0

Courses I like:

Neural Networks for Machine Learning

Deep Learning A-Z™: Hands-On Artificial Neural Networks