Blogs related to deep learning
This is mostly created to help me, but what the heck, you guys can learn too.
Obviously im going to miss a lot of blogs,so help me help you -send a link - ryanloaded@live.com
http://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf
https://tryolabs.com/blog/2017/08/30/object-detection-an-overview-in-the-age-of-deep-learning/
https://www.jeremyjordan.me/semantic-segmentation/
Spatial Transformer networks - https://kevinzakka.github.io/2017/01/18/stn-part2/
Attention is all you need/Transformer - https://jalammar.github.io/illustrated-transformer/
Visualize machine translation model - https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/
Bert,Elmo etc - https://jalammar.github.io/illustrated-bert/
Attention and Augmented Recurrent Neural Networkd - https://distill.pub/2016/augmented-rnns/
LSTM - http://colah.github.io/posts/2015-08-Understanding-LSTMs/
Word Embeddings- http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/
https://www.jeremyjordan.me/introduction-to-recurrent-neural-networks/
http://teleported.in/posts/cyclic-learning-rate/
https://blog.floydhub.com/gans-story-so-far/
https://wiseodd.github.io/techblog/2016/12/24/conditional-gan-tensorflow/
https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html
https://jaan.io/what-is-variational-autoencoder-vae-tutorial/