Nando de Freitas taught a deep learning course at the University of Oxford. All of the videos are freely available. The playlist is a bit out of order, but starting with Lecture 1 is probably the best technique.
Yoshua Bengio, Ian Goodfellow and Aaron Courville are writing a deep learning book for MIT Press. The book is not yet complete, but the drafts of the chapters are all available online. The authors are also collecting comments about the chapters before the book goes to press.
The book is broken into 3 sections:
- Math and Machine Learning Fundamentals
- Modern Deep Neural Networks
- Current Research in Deep Learning
The book is very technical and probably suitable for a graduate level course. However, if you have the time and interest, resources such as this are highly valuable.
If you are based near San Francisco and interested in machine learning, the Next.ML conference is going on this weekend, January 17, 2015. The conference is a bunch of workshops covering the latest trends in:
- DEEP LEARNING
- PROBABILISTIC PROGRAMMING
- PARALLEL LEARNING
- OTHER MACHINE LEARNING TOPICS AND TOOLS
The lineup of speakers is great, coming from places like MIT, Facebook, Stanford, Domino Data Labs, and others. Bring your laptop because all participants will leave the conference with lots of great software and datasets.
Note: If you would like to attend the conference, you can use the coupon code “media” to save 30% off the conference admission.
Here are some great resources to kickstart your deep learning.
- Deep Learning in Nutshell – nicely detailed blog post
- Deep Learning Resources – so many good resources, more than I will list here, follow the link
- Deep Learning Tutorial – just like the title says
- Deep Neural Networks are Easily Fooled – Proof that deep learning cannot do everything
- Deep Learning in Neural Networks: An Overview – 88 page tutorial
Geoffrey Hinton recently did a Reddit AMA (Ask Me Anything). It contains some good information related to neural networks and deep learning.
Also, below is a lengthy video of a distinguished lecture Geoffrey gave at the Toyota Technological Institute in Chicago.
Deep Learning is the hottest topic in all of data science right now. Adam Gibson, cofounder of Blix.io, has created an open source deep learning library for Java named DeepLearning4j. For those curious, DeepLearning4j is open sourced on github.
Below is a video of Adam introducing deep learning and DeepLearning4j. Also, if you are interested in learning more about deep learning. Here are a couple more very help links.