An annotated implementation of the Transformer paper.

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dime…

EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models

Learing the process of LSTM, and use keras achieve stock prediction using LSTM。LSTM步骤解释，然后使用keras实现用LSTM预测股票走势

using different RNN techniques on time series (Batch Norm ,Layer Norm , Custom RNN , LSTMs , GRUs , CNN and RNN together , WaveNet )