Introduction to Convolutional Neural Nets

For anyone looking for a broad intro to neural networks, I read a bunch of stuff when I was getting started and these two were the most outstanding:

http://neuralnetworksanddeeplearning.com/

http://cs231n.stanford.edu/

Also, a very nice tutorial for Keras: https://github.com/leriomaggio/deep-learning-keras-euroscipy...

nice...the 1st link is the draft for the Bengio group's book?

I think you're thinking of http://www.deeplearningbook.org/. The chapters I read from that were very good, but I didn't finish the book so hesitated to recommend it.

Also, a couple of weeks ago there was the "Bay Area Deep Learning School" with 10/10 good lectures: http://www.bayareadlschool.org/schedule (best for someone who already has a bit of math or ML background)

The videos of the tutorials are on youtube: https://youtu.be/eyovmAtoUx0?t=9m42s

> Lenet architecture was published by Jean LeCun et al. in 1998.

I believe the intended name was Yann LeCun, not Jean Lecun. The paper it linked to: http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf

Not related to convolutions but I love how clear Jupyter structure is. I just wished spreadsheets and word files had such simple cell based structure.