2017 has almost come to an end. What have you achieved in the past year? Anyway, keep a good attitude, the future does not meet, the present is not miscellaneous, neither love.

Recently, I plan to reorganize and push the articles I wrote in the past year according to categories, including “distributed”, “machine learning”, “deep learning”, “NLP”, “Java Depth”, “Java Concurrency Core”, “JDK source code”, and “Tomcat kernel”.

This post is about deep learning.

LSTM neural network

GRU neural network

Recurrent neural network

Convolutional neural network

Seq2seq model for deep learning

TensorFlow builds a cyclic neural network

TensorFlow implementation seq2seq

Talk about how Google word2vec works

How to train word vectors with TensorFlow

How to train chatbots with TensorFlow

TensorFlow training Logistic regression

TensorFlow training linear regression of single feature and multiple features

Attention model for deep learning

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Why to write “Analysis of Tomcat Kernel Design”

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