Add more deep learning MOOCs
diff --git a/courses.md b/courses.md
index 0c801975..161e884d 100644
--- a/courses.md
+++ b/courses.md
@@ -7,6 +7,9 @@ The following is a list of free or paid online courses on machine learning, stat
 * [Machine Learning (Stanford University)](https://www.coursera.org/learn/machine-learning) - free
 * [Neural Networks for Machine Learning (University of Toronto)](https://www.coursera.org/learn/neural-networks) - free. Also [available on YouTube](https://www.youtube.com/watch?v=cbeTc-Urqak&list=PLYvFQm7QY5Fy28dST8-qqzJjXr83NKWAr) as a playlist.
 * [Deep Learning Specialization (by Andrew Ng, deeplearning.ai)](https://www.coursera.org/specializations/deep-learning) - Courses: I Neural Networks and Deep Learning; II Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; III Structuring Machine Learning Projects; IV Convolutional Neural Networks; V Sequence Models; Paid for grading/certification, financial aid available, free to audit
+Deep Learning Nano Degree on Udacity (https://www.udacity.com/course/deep-learning-nanodegree--nd101) - $
+Intro to Deep Learning (MIT) (http://introtodeeplearning.com/)
+fast.ai - deep learning MOOC (http://www.fast.ai/)
 * [Machine Learning Specialization (University of Washington)](https://www.coursera.org/specializations/machine-learning) - Courses: Machine Learning Foundations: A Case Study Approach, Machine Learning: Regression, Machine Learning: Classification, Machine Learning: Clustering & Retrieval, Machine Learning: Recommender Systems & Dimensionality Reduction,Machine Learning Capstone: An Intelligent Application with Deep Learning; free
 * [Machine Learning Course (2014-15 session) (by Nando de Freitas, University of Oxford)](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/) - Lecture slides and video recordings.
 * [Learning from Data (by Yaser S. Abu-Mostafa, Caltech)](http://www.work.caltech.edu/telecourse.html) - Lecture videos available
@@ -16,8 +19,8 @@ The following is a list of free or paid online courses on machine learning, stat
 * [Keras in Motion](https://www.manning.com/livevideo/keras-in-motion) $
 * [Stanford's CS231n: CNNs for Visual Recognition](https://www.youtube.com/watch?v=vT1JzLTH4G4&index=1&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv) - Spring 2017 iteration, instructors (Fei-Fei Li, Justin Johnson, Serena Yeung) , or [Winter 2016 edition](https://www.youtube.com/watch?v=NfnWJUyUJYU&list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC) instructors (Fei-Fei Li, Andrej Karpathy, Justin Johnson). [Course website](http://cs231n.github.io/) has supporting material.
 * [University of California, Berkeley's CS294: Deep Reinforcement Learning](https://www.youtube.com/watch?v=8jQIKgTzQd4&list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX) - Fall 2017 edition. [Course website](http://rll.berkeley.edu/deeprlcourse/) has lecture slides and other related material.
-* [Machine Learning](https://www.udacity.com/course/machine-learning--ud262) - free
-* [Reinforcement Learning](https://www.udacity.com/course/reinforcement-learning--ud600) - free
+* [Machine Learning (Georgia Tech) on Udacity](https://www.udacity.com/course/machine-learning--ud262) - free
+* [Reinforcement Learning (Georgia Tech) on Udacity ](https://www.udacity.com/course/reinforcement-learning--ud600) - free
 * [Machine Learning for Trading](https://www.udacity.com/course/machine-learning-for-trading--ud501) - free
 * [Mining of Massive Datasets](https://www.youtube.com/watch?v=xoA5v9AO7S0&list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) (YouTube playlist)- Course [website](http://mmds.org/) has info about accompanying book, free chapters, and Stanford's [MOOC](https://lagunita.stanford.edu/courses/course-v1:ComputerScience+MMDS+SelfPaced/about)
 * [Machine Learning Crash Course (Google)](https://developers.google.com/machine-learning/crash-course/) - free

Add deep learning MOOCs by Udacity, MIT and fast.ai