Ask HN: What is the best way to get started in Deep Learning?
Hi!! I want to study and understand Deep Learning.
Can you suggest some of the best resources to get started in it?
Also, it would be great if you could list the main topics/areas/ideas of DL, so that I would have the general framework for studying, and know what do I need to learn and in what order.
Im sure that would be useful for a lot of people here.
4 comments
[ 406 ms ] story [ 3603 ms ] threadLinks:
https://www.coursera.org/course/ml
https://www.khanacademy.org/math/linear-algebra
https://www.coursera.org/course/neuralnets
www.iro.umontreal.ca/~bengioy/papers/ftml.pdf
http://www.iro.umontreal.ca/~bengioy/dlbook/
http://techtalks.tv/talks/deep-learning/58122/
edit: here's the ebook link neuralnetworksanddeeplearning.com
My tentative plan is to start with Coursera's Neural Network course and implement as many things as possible (probably in Python) along the way. By the end of 2015, I'd like to build a deep learning application from scratch that does something interesting.
While online resources will likely be my primary source of information, I'd love to have a study partner (or partners) to discuss concepts and bounce ideas off of. If OP or anyone else is interested, drop me a note at matthew.h.mazur@gmail.com and we'll figure out the best way to do that.
As a side note, I built a few a-life/AI visualizations in JavaScript over the past year, including a simple neural network which might interest anyone reading this: http://www.emergentmind.com/.