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Free machine learning education.
Many top universities are making their Machine Learning and Deep Learning programs publicly available. All of this information is now online and free for everyone!
Here are 6 of these programs. Pick one and get started!
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Many top universities are making their Machine Learning and Deep Learning programs publicly available. All of this information is now online and free for everyone!
Here are 6 of these programs. Pick one and get started!
↓
Introduction to Deep Learning
MIT Course 6.S191
Alexander Amini and Ava Soleimany
Introductory course on deep learning methods and practical experience using TensorFlow. Covers applications to computer vision, natural language processing, and more.
http://introtodeeplearning.com/
MIT Course 6.S191
Alexander Amini and Ava Soleimany
Introductory course on deep learning methods and practical experience using TensorFlow. Covers applications to computer vision, natural language processing, and more.
http://introtodeeplearning.com/
Deep Learning
NYU DS-GA 1008
Yann LeCun and Alfredo Canziani
This course covers the latest techniques in deep learning and representation learning with applications to computer vision, natural language understanding, and speech recognition.
https://atcold.github.io/pytorch-Deep-Learning/
NYU DS-GA 1008
Yann LeCun and Alfredo Canziani
This course covers the latest techniques in deep learning and representation learning with applications to computer vision, natural language understanding, and speech recognition.
https://atcold.github.io/pytorch-Deep-Learning/
Designing, Visualizing, and Understanding Deep Neural Networks
UC Berkeley CS L182
John Canny
A theoretical course focusing on design principles and best practices to design deep neural networks.
https://bcourses.berkeley.edu/courses/1487769
UC Berkeley CS L182
John Canny
A theoretical course focusing on design principles and best practices to design deep neural networks.
https://bcourses.berkeley.edu/courses/1487769
Applied Machine Learning
Cornell Tech CS 5787
Volodymyr Kuleshov
A machine learning introductory course that starts from the very basics, covering all of the most important machine learning algorithms and how to apply them in practice.
https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
Cornell Tech CS 5787
Volodymyr Kuleshov
A machine learning introductory course that starts from the very basics, covering all of the most important machine learning algorithms and how to apply them in practice.
https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
Full Stack Deep Learning
UC Berkeley Spring 2021 Online Course
Sergey Karayev, Josh Tobin, and Pieter Abbeel
Training models is just one part of shipping a deep learning project. This course teaches full-stack production deep learning.
https://fullstackdeeplearning.com/spring2021/
UC Berkeley Spring 2021 Online Course
Sergey Karayev, Josh Tobin, and Pieter Abbeel
Training models is just one part of shipping a deep learning project. This course teaches full-stack production deep learning.
https://fullstackdeeplearning.com/spring2021/
Deep Learning for Computer Vision
University of Michigan. EECS 498-007 / 598-005
Justin Johnson
A deep dive into neural-network-based DL methods for CV, with a focus on training and debugging neural networks and understanding cutting-edge research.
https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r
University of Michigan. EECS 498-007 / 598-005
Justin Johnson
A deep dive into neural-network-based DL methods for CV, with a focus on training and debugging neural networks and understanding cutting-edge research.
https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r
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It’s all about building value, and that’s way more fun if we do it together!
It’s all about building value, and that’s way more fun if we do it together!
