2018 Summary of deep learning

Briefly discuss the development of convolutional neural networks

Visualization of neural network principles

Visual exploration of convolutional neural network extraction features

An example of learning by transfer

Image convolution and pooling operations

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

Bidirectional cyclic neural network and TensorFlow implementation