Courses

March 7, 2019 · View on GitHub

[Berkeley] Applied Natural Language Processing
[Berkeley] CS294: Deep Reinforcement Learning
[Berkeley] Stat212b：Topics Course on Deep Learning
[CUHK] ELEG 5040: Advanced Topics in Signal Processing(Introduction to Deep Learning)
[CMU] Deep Reinforcement Learning and Control
[CMU] Introduction to Deep Learning
[CMU] Neural networks for NLP
[COMS] W4995 Applied Machine Learning Spring 2018
[David Silver] RL Course
[EE 227C]Convex Optimization and Approximation
[Emory University] CS584: Deep Learning
[Google] Udacity Deep Learning Online Course
[Hinton] Neural Networks for Machine Learning
[Hvass Laboratories] TensorFlow
[INTEL] Deep Learning 501
[Jeremy Howard] Deep Learning For Coders
[MIT] Practical Deep LeTensorFlowarning For Coders
[MIT] S099: Artificial General Intelligence
[MIT] S094: Deep Learning for Self-Driving Cars
[MIT] S191: Introduction to Deep Learning
[Nvidia] Fundamentals of Accelerated Computing with CUDA C/C++
[NYU] Deep Learning by Prof. Yann LeCun
[Oxford] Deep Learning Course
[Oxford] Deep Learning by Prof. Nando de Freitas
[Paris Saclay]Deep Learning course: lecture slides and lab notebooks
[Stanford] CS231n: Convolutional Neural Networks for Visual Recognition
[Stanford] CS20SI: Tensorflow for Deep Learning Research
[Stanford] CS224n: Natural Language Processing with Deep Learning
[Stanford] CS 228: Probabilistic Graphical Models
[Stanford] CS 20: Tensorflow for Deep Learning Research
[Stanford] STATS 385: Theories of Deep Learning
[Toronto] CSC 2541 Fall 2016:Differentiable Inference and Generative Models
[Utah] Applied Computational Genomics Course at UU
[YouTube]OpenCV with Python for Image and Video Analysis
Python for Data Analysis
Statistical and Discrete Methods for Scientific Computing
[ANDREW NG]deeplearning.ai
[吴立德] 《深度学习课程》
[李宏毅] Machine Learning and having it Deep and Structured
[林轩田] 机器学习基石
Introductory Machine Learning Algorithms in Python with scikit-learn
[YouTube] Deep Learning Crash Course (2018)
[liveVideo Course] AWS Machine LEarning in Motion (2018)
[liveVideo Course] Reinforcement Learning in Motion