MIT Introduction to Deep Learning – TensorFlow – Medium

Designing the course and the labs to be accessible to as many people as possible was a big priority for us. So, Lecture 1 focuses on neural network fundamentals, and the first module in Lab 1 provides a clean introduction to TensorFlow, and is written in preparation for the upcoming release of TensorFlow 2.0. Our introduction to TensorFlow exercises highlight a few key concepts in particular: how to execute computations using math operators, how to define neural network models,and how to use automatic differentiation to train networks with backpropagation. Following the Intro to TensorFlow module, Lab 1's second module dives right into building and applying a recurrent neural network (RNN) for music generation, designed to accompany Lecture 2 on deep sequence modeling. You'll build an AI algorithm that can generate brand new, never-heard-before Irish folk music.