Editing Learning (section)

===Courses===
* [https://www.youtube.com/watch?v=PlhFWT7vAEw Deep learning at Oxford 2015] - Nando de Freitas (Bad audio quality)... (same guy did this [https://www.youtube.com/watch?v=x1kf4Zojtb0 talk])
* [https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD Foundations of Machine Learning Boot Camp] + Deep Learning Specific stuff
* [https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH Neural networks class - Université de Sherbrooke] - via [https://www.reddit.com/r/deeplearning/comments/5ohscp/a_complete_and_easy_to_follow_course_for/ Reddit] "A complete and easy to follow course for understanding ANNs". Seems to have some math. Short <15min lectures.
* [https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf undergraduate machine learning at UBC 2012]
* [https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6 Machine Learning 2013]
* [http://videolectures.net/Top/Computer_Science/#p=3 videolectures.net]
* [http://rll.berkeley.edu/deeprlcourse/ Berkeley - CS 294: Deep Reinforcement Learning, Spring 2017]
* [https://www.youtube.com/watch?v=QjuwYbeqrQI Berkeley - CS 294-129 10/5/16]
* [https://berkeley-deep-learning.github.io/cs294-dl-f16/ Berkeley - CS 294-131: Special Topics in Deep Learning Fall, 2016]
* [https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC Stanford CS231n Winter 2016: Convolutional Neural Networks for Visual Recognition.] - Convnets in pratice 15min in talks about retraining just a littlebit..., at <36min talks about convolutions with 3x1 and 1x3.
* [http://networkflow.net/forum/19-stanford-cs231n-convolutional-neural-networks-for-visual-recognition/ CS231N forums]
* [https://www.coursera.org/learn/machine-learning/home/week/1 Coursera - Machine Learning] - Andrew Ng
* [https://www.coursera.org/learn/neural-networks/home/welcome Coursera - Neural Networks] - Geoffrey Hinton
* [http://deeplearning.stanford.edu/tutorial/ Stanford] - These tutorials seem cool
* [http://videolectures.net/nips2010_wright_oaml/ Optimization Algorithms in ML] - NIPS2010 - Video (2010)
* [https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow-iv Kadenze: Creative Applications of Deep Learning with Tensorflow] - Course seems nice.
* [https://www.kadenze.com/courses/the-nature-of-code-ii Kadenze: The Nature of Code]
* [https://classroom.udacity.com/courses/ud262/lessons/3625438937/concepts/6405791890923 Udacity - Machine Learning]
* [https://classroom.udacity.com/courses/ud730/lessons/6370362152/concepts/63798118390923 Udacity - Deep Learning]
* [https://www.youtube.com/playlist?list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ TensorFlow] - "Best Tensorflow+Deep Learning tutorials on YouTube"
* [http://introtodeeplearning.com/index.html MIT - Intro to Deep Learning]
* [https://www.youtube.com/watch?v=W1S-HSakPTM University of California, Berkeley - CS118: Artificial Intelligence]
* [https://www.youtube.com/user/lexfridman/videos MIT 6.S094] - RNN and control topics.
* [https://github.com/oxford-cs-deepnlp-2017/lectures Oxford - Deep Learning NLP]
* [https://www.youtube.com/watch?v=5MdSE-N0bxs Connections between physics and deep learning] - Center for Brains, Minds and Machines (CBMM)

* [http://www.deeplearningweekly.com/pages/open_source_deep_learning_curriculum deeplearningweekly.com] - List of opensource curriculum. Lots of courses.

* [http://www.breloff.com/no-backprop/ Learning without Backpropagation]

* [http://www.visualisingdata.com/2016/12/collection-significant-development-posts/ Data Visualisation Collection] 

* [http://deeplearning.net/datasets/ deeplearning.net Datasets]
* [http://www.openml.org/ OpenML] - Has heaps of datasets.

[http://machinelearningmastery.com/dropout-regularization-deep-learning-models-keras/ Dropout Info]

* [https://stefanopalmieri.github.io/HyperNEAT-Adjacency-Matrix/ HyperNEAT] - HyperNEAT is a well known Neuro-Evolution algorithm
* [https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/lecture-13-learning-genetic-algorithms/ Learning Genetic Algorithms] - Guy with candy.

[https://www.youtube.com/watch?v=XI-I9i_GzIw&feature=em-lss How to Install OpenAI's Universe and Make a Game Bot using reinforcement learning.]