Introduction to using and understanding deep neural networks, their application to visual object recognition, and software tools for building deep neural network models.

Taught by: Phillip Isola, MIT

Video:

• Learning in deep neural networks (1:26:25)

Slides:

• Using and understanding deep neural nets

Additional Resources:

• Exercises
• Code for exercises - Click on link to download, open MATLAB, change current directory to the downloaded folder, and then run setup; (this compiles the C code needed for MatConvNet). If you have difficulties, confirm that you have a working C compiler (check that the MATLAB mex command works). You may need to install Windows SDK and/or try using a more recent version of MATLAB.
• Inceptionism: Going Deeper into Neural Networks - New Google blog post on visualizing CNNs 
•  Stanford "Unsupervised Feature Learning and Deep Learning" tutorial
• CS231n: Convolutional Neural Networks for Visual Recognition
• Hacker's guide to Neural Networks
• Metacademy's Deep Learning From the Bottom Up