tswaterman + lstm   6

LSTM · ml5js
Favorite tweet: hardmaru

ml5.js is a machine learning library for creative coders that is built on top of tensorflow.js, with an API that is heavily inspired by Processing and p5.js. The examples are very readable and fun. Here is a char-rnn demo trained on Ernest Hemingway: https://t.co/LFlAabAzlh pic.twitter.com/pY918migHe

— hardmaru (@hardmaru) June 8, 2018

http://twitter.com/hardmaru/status/1004962017072033792
deeplearning  ml  nlp  lstm  IFTTT  twitter  favorite 
june 2018 by tswaterman
Sequence Tagging with Tensorflow
entity labelling with LSTM in tensorflow.
lstm  ner  tensorflow  nlp  text 
april 2018 by tswaterman
autoencoders for text classification
stanford paper examining LSTMs and autoencoders for text classification
classification  nlp  text  nn  lstm  rnn 
july 2017 by tswaterman
LSTM Networks for Sentiment Analysis — DeepLearning 0.1 documentation
deep learning short-term memory model, NLP for processing movie reviews
lstm  deeplearning  theano  python  nlp 
march 2016 by tswaterman
Understanding LSTM Networks -- colah's blog
Long Short Term Memory networks – usually just called “LSTMs” – are a special kind of RNN, capable of learning long-term dependencies. They were introduced by Hochreiter & Schmidhuber (1997), and were refined and popularized by many people in following work.1 They work tremendously well on a large variety of problems, and are now widely used
ai  ml  lstm  neuralnets  deeplearning 
october 2015 by tswaterman

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