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Deep Learning Reading List

jmozah.github.io

1–10 of 16 posts

Re: Deep Learning Reading List

#2
You're going to get most of these from a simple Google search, if you're going to build a list of what to read you should at least put some effort into it. Currently, this list is missing a lot of history behind deep learning - only 3 papers listed!

if you want a good set of papers that starts with perceptrons and hebbian learning to multi-layered neural nets and the emergence of what we now refer to as deep networks checkout http://deeplearning.cs.cmu.edu/

Re: Deep Learning Reading List

#3

You're going to get most of these from a simple Google search, if you're going to build a list of what to read you should at least put some effort into it. Currently, this list is missing a lot of history behind deep learning - only 3 papers listed! if you want a good set of papers that starts with perceptrons and hebbian learning to multi-layered neural nets and the emergence of what we now refer to as deep networks…

I agree. Thanks for the link. I have added stuff that i started with. will improve this list over time.

Re: Deep Learning Reading List

#4
post #3

You're going to get most of these from a simple Google search, if you're going to build a list of what to read you should at least put some effort into it. Currently, this list is missing a lot of history behind deep learning - only 3 papers listed! if you want a good set of papers that starts with perceptrons and hebbian learning to multi-layered neural nets and the emergence of what we now refer to as deep networks…

I agree. Thanks for the link. I have added stuff that i started with. will improve this list over time.

Added the link to the list..

Re: Deep Learning Reading List

#8
post #7

Automatic Speech Recognition: a Deep Learning Approach contains an excellent section about deep learning, as well as more content about ASR and hybrid deep learning methods.

can you post the link?

http://www.springer.com/engineering/signals/book/978-1-4471-...

Re: Deep Learning Reading List

#9
I would add "Practical recommendations for gradient-based training of deep architectures" to the list for those who already have a feel for training multi-layer neural nets. It provides a good overview for those that want to learn more about gradient descent, hyperparameter tuning, and other practical considerations involved with training deep architectures.

http://arxiv.org/abs/1206.5533

Re: Deep Learning Reading List

#10
post #4
post #3

Earlier quoted context omitted.

I agree. Thanks for the link. I have added stuff that i started with. will improve this list over time.

Added the link to the list..

Perhaps of interest - http://deeplearning.university - provides a bibliography of recent publications. See also https://news.ycombinator.com/item?id=8334875
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