Deep Learning

Vincent Vanhoucke, Principal Scientist at Google Brain, introduces you to Deep Learning and Tensorflow, Google's Deep Learning Framework.

Vincent helps you through the different tasks you need to accomplish to complete Assignment 1: notMNIST.

Vincent walks you through how to go from a simple Neural Network to a Deep Neural Network. You'll learn about why additional layers can help and how to prevent overfitting.

Vincent explains the theory behind Convolutional Neural Networks and how they help us dramatically improve performance in image classification.

Learn about word embeddings and recurrent neural networks, powerful architectures that can accurately handle text and sequences.

How to setup TensorFlow and fetch assignment starter code

In this project, you will train a model that can decode sequences of digits from natural images, and create an app that prints the numbers it sees in real time. You may choose to implement your project as a simple Python script, a web app/service or an Android app.

Go beyond CNNs with our Deep Learning Nanodegree program. You’ll cover advanced topics (RNNs, GANs, and reinforcement learning) + get feedback on your projects from deep learning experts.