Machine Learning CS299

• Brandon McKinzie for CS299 etc.

• PythonAndr for CS299 by Andrew Ng

Deep Learning Specialization by Andrew Ng

• Kulbear

• enggen

Machine Learning Course

• Machine Learning at CUNI NZ

• Elements of AI

• TensorFlow, Keras and deep learning, without a PhD, Github, License: Apache

• CS231n Stanford, CS231n Github, CS231n GIthub Source License: MIT

  • Set Up Google Cloud Platform for Machine Learning

  • Slides

  • Schedule

• Schedule - EECS 498-007 / 598-005: Deep Learning for Computer Vision

• AI-Sys Sp19 ucbrise/cs294-ai-sys-sp19: CS294; AI For Systems and Systems For AI

• CS182/282A Designing, Visualizing and Understanding Deep Neural Networks Spring 2020: Designing, Visualizing and Understanding Deep Neural Networks (Spring 2020)

  • mj-hwang/cs182-deep-neural-network: CV, NLP, and RL projects in CS 182: Designing, Visualizing and Understanding DNNs (spring 2020)

• MIT Deep Learning 6.S191

  • aamini/introtodeeplearning: Lab Materials for MIT 6.S191: Introduction to Deep Learning

Practical Deep Learning

• rajatkb/Practical-Deep-Learning

• sjchoi86/dl_tutorials: Deep Learning Presentation and Tutorial License: MIT

Visualizing Backpropagation

• HMKCode

• MattMazur

• JeremyJordan

Machine Learning Course

• Course Materials Academy Neuromatch

  • course-content/README.md at master · NeuromatchAcademy/course-content

• COMS W4995 Applied Machine Learning Spring 2020 - Schedule - Andreas C. Müller - Associate Research Scientist,

  • amueller/COMS4995-s19: COMS W4995 Applied Machine Learning - Spring 19 License Public Domain

  • amueller/introduction_to_ml_with_python: Notebooks and code for the book "Introduction to Machine Learning with Python"

  • Youtube

  • Youtube 2019