https://drive.google.com/open?id=18Q06i5nb3zPZufolBizKpaLuNGp-XjH4
- https://github.com/tensorflow/tfjs-examples
- https://github.com/SilvaEmerson/U-Net-TF.js/blob/master/model.js
- https://github.com/Jam3/math-as-code
- https://medium.com/@klintcho/creating-an-open-speech-recognition-dataset-for-almost-any-language-c532fb2bc0cf
- https://blog.slavv.com/37-reasons-why-your-neural-network-is-not-working-4020854bd607?gi=89f28e02c0b6
- https://habr.com/ru/post/309302/
- https://itnext.io/18-tips-for-training-your-own-tensorflow-js-models-in-the-browser-3e40141c9091
- https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
- https://github.com/karpathy/convnetjs
- https://karpathy.github.io/2015/05/21/rnn-effectiveness/
- https://ml5js.org
- https://www.tensorflow.org/js/tutorials
- https://blog.bitsrc.io/11-javascript-machine-learning-libraries-to-use-in-your-app-c49772cca46c
- https://github.com/karpathy/convnetjs
- https://github.com/zziz/pwc
- https://github.com/hoya012/deep_learning_object_detection
- http://course.fast.ai/index.html
- https://developers.google.com/machine-learning/recommendation/
- https://github.com/scutan90/DeepLearning-500-questions
- https://github.com/Avik-Jain/100-Days-Of-ML-Code
- https://research.yandex.com/lib/publications
- https://ai.google/research
- https://stackoverflow.com/questions/38714959/understanding-keras-lstms/50235563#50235563
- https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/single-shot-detectors/yolo.html
- https://blog.manash.me/building-a-dead-simple-word-recognition-engine-using-convnet-in-keras-25e72c19c12b?gi=ed5f65f9e820
- https://yerevann.github.io/2016/06/26/combining-cnn-and-rnn-for-spoken-language-identification/
- https://www.kaggle.com/c/sentiment-analysis-in-russian
- https://www.datascience.com/blog/fraud-detection-with-tensorflow
Great work and compilation.
Thanks