mlelarge/dataflowr

Resources for “Introduction to Deep Learning” course.

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

A Code-First Introduction to NLP course

Notebooks for learning deep learning

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Notebooks for my “Deep Learning with TensorFlow 2 and Keras” course

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Deep Learning Specialization by Andrew Ng on Coursera.