Skip to content

A proven and fun approach to rapidly learning deep learning.

Notifications You must be signed in to change notification settings

mikkokotila/learning-deep-learning

Repository files navigation

Learning Deep Learning

Want to learn deep learning using vetted resources and a method that maximize the benefit you get out of your time? Look no further, you've come to right place. You'll be building your very own skynet in no time.

Yes, I'm ready to go, beam me up

Who is it for?

For anyone who wants to learn deep learning fast. This includes those that have minimal programming knowledge / experience. If you can learn to play a more serious computer game, with the training I provide, you will learn how to deep learning.

Who is not for?

If you're looking to learn a lot about maths, history of machine learning, etc. etc. etc. then you can basically just pick any book, course, or other resource out there, because that's what they all do. Also if you want to learn advanved programming tricks related to deep learning, we're definitely not doing that here. Actually, in 99% of the cases, all of that is absolutely useless anyways.

Why do you want to learn from me?

Why does my method work?

I know this method words because it is based on how I learn myself. I dropped out of school when I was 11, and I never wrote a single mathematical function. Everything I know, I've learned myself, so learning is something I know a thing or two about. For this training, I've taken out all the extra steps, repetitions and other headaches so you can in minimum time, get the maximum learning. Deep learning is super fun, so learning deep learning should be fun too :)

How to get started?

Assignements that take you from zero to hero

then start with your first assignement here

What else I can do?

For Assets for rapidly learning deep learning using Python and Keras.

for some background

For Troubleshooting tips / protocol

in case you get in to trouble

About

A proven and fun approach to rapidly learning deep learning.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published