Deep learning resources and notes
This is a directory of deep learning resources that I have been following, and putting here for personal reference. If you have a recommendation, feel free to leave a comment.
Convolutional networks
https://adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/ - Part 1
https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks-Part-2/ - Part 2
Neural network book
[TODO] http://neuralnetworksanddeeplearning.com/index.html
MXNet
NDArray tutorial - http://mxnet.io/tutorials/python/ndarray.html
Handwritten digits recognition - http://mxnet.io/tutorials/python/mnist.html[TODO] Full list of tutorials here: http://mxnet.io/tutorials/index.html
LSTM
Understanding LSTM Networks - http://colah.github.io/posts/2015-08-Understanding-LSTMs/
Neural network visualization
Video - https://www.youtube.com/watch?v=AgkfIQ4IGaM
Exploiting Similarities among Languages for Machine Translation - https://arxiv.org/pdf/1309.4168.pdf
GAN (Generative Adversarial Networks) - https://arxiv.org/pdf/1406.2661v1.pdf
Building bots with AWS Lex
Introduction: https://aws.amazon.com/blogs/aws/amazon-lex-build-conversational-voice-text-interfaces/
Part 1: https://aws.amazon.com/blogs/ai/building-better-bots/
Part 2: https://aws.amazon.com/blogs/ai/building-better-bots-part-2
Convolutional networks
https://adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/ - Part 1
https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks-Part-2/ - Part 2
Neural network book
[TODO] http://neuralnetworksanddeeplearning.com/index.html
MXNet
NDArray tutorial - http://mxnet.io/tutorials/python/ndarray.html
Handwritten digits recognition - http://mxnet.io/tutorials/python/mnist.html[TODO] Full list of tutorials here: http://mxnet.io/tutorials/index.html
LSTM
Understanding LSTM Networks - http://colah.github.io/posts/2015-08-Understanding-LSTMs/
Neural network visualization
Video - https://www.youtube.com/watch?v=AgkfIQ4IGaM
== Definitions ==
Lower and higher layers: The layers which are near the input are called lower layers. The higher layers are near the output. Ref. http://deeplearning.net/tutorial/lenet.html== Research papers ==
Linguistic Regularities in Continuous Space Word Representations - http://www.aclweb.org/anthology/N13-1090Exploiting Similarities among Languages for Machine Translation - https://arxiv.org/pdf/1309.4168.pdf
GAN (Generative Adversarial Networks) - https://arxiv.org/pdf/1406.2661v1.pdf
== Others ==
Building bots with AWS Lex Introduction: https://aws.amazon.com/blogs/aws/amazon-lex-build-conversational-voice-text-interfaces/
Part 1: https://aws.amazon.com/blogs/ai/building-better-bots/
Part 2: https://aws.amazon.com/blogs/ai/building-better-bots-part-2
Hi, here are a couple of deep learning articles I've created that may be of interest:
ReplyDeletehttp://adventuresinmachinelearning.com/neural-networks-tutorial/ - this one is a really comprehensive introduction to building neural networks in Python.
http://adventuresinmachinelearning.com/python-tensorflow-tutorial/ - this one is a gentle introduction to TensorFlow deep learning in Python also.
Thanks Andrew for sharing the links. Very detailed.
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