I have some great news. Thanks In no small part to the strong support of all of you who have enrolled in courses, I’ve been able to accelerate the course production schedule. Course 313, Advanced Neural Network Methods, is complete two months ahead of schedule.
The course has six major sections covering the topics you need to bring basic neural networks up to high levels of performance: Regularization, Dropout, Skip-layers, Computation Graphs, Optimizers, and Initialization. It also shows how these apply in an autoencoder while processing images of the surface of Mars.
The course is based on the Cottonwood machine learning framework and demonstrates how to freely experiment with deep learning concepts of your own.
Thank you and for your enthusiasm and dedication working through the courses! Your experiences give me great ideas for how to make the material even more helpful and motivation to keep it coming at a good pace. I couldn’t do it without you.