Teach Yourself Deep Learning with TensorFlow and Udacity
Originally posted on Google
Research Blog
Posted by Vincent Vanhoucke, Principal Research
Scientist
Deep learning has become
one of the hottest topics in machine learning in recent years. With
TensorFlow, the deep learning platform that we
recently
released as an open-source project, our goal was to bring the capabilities of deep
learning to everyone. So far, we are extremely excited by the uptake: more than 4000 users
have forked it on
GitHub in
just a few weeks, and the project has been starred more than 16000 times by
enthusiasts
around the globe.
To help make deep learning even more accessible to engineers and data scientists at large, we
are launching a new
Deep
Learning Course developed in collaboration with
Udacity. This short, intensive course provides you
with all the basic tools and vocabulary to get started with deep learning, and walks you
through how to use it to address some of the most common machine learning problems. It is also
accompanied by interactive TensorFlow notebooks that directly mirror and implement the
concepts introduced in the lectures.
The course consists of four lectures which provide a tour of the main building blocks that are
used to solve problems ranging from image recognition to text analysis. The first lecture
focuses on the basics that will be familiar to those already versed in machine learning:
setting up your data and experimental protocol, and training simple classification models. The
second lecture builds on these fundamentals to explore how these simple models can be made
deeper, and more powerful, and explores all the scalability problems that come with that, in
particular regularization and hyperparameter tuning. The third lecture is all about
convolutional
networks and image recognition. The fourth and final lecture explore models for text
and sequences in general, with embeddings and
recurrent neural
networks. By the end of the course, you will have implemented and trained this
variety of models on your own machine and will be ready to transfer that knowledge to solve
your own problems!
Our overall goal in designing this course was to provide the machine learning enthusiast a
rapid and direct path to solving real and interesting problems with deep learning techniques,
and we're now very excited to share what we've built! It has been a lot of fun putting
together with the fantastic team of experts in online course design and production at Udacity.
For more details, see the
Udacity blog
post, and
register for the
course. We hope you enjoy it!
