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lstm-demo's Introduction

LSTM demo

实现矩阵序列预测

Setup

All code was developed and tested on Win10x64 with Python 3.7, tensorflow 2.1.0 and keras-gpu 2.3.1.

You should have a GPU from nvidia.

You can setup a virtual environment to run the code like this:

conda create -n keras-gpu python==3.7
conda activate keras-gpu
conda install -c anaconda keras-gpu

Other requirements:

matplotlib==3.4.2
numpy==1.19.1
pandas==1.1.5

Try

python predict.py     # 默认网格尺寸4000,观察120s预测60s

Train

python LSTM_def_s_gpu.py      # train and predict, dont save model. Please modify the code to save.

Predict

Like Try:

python predict.py

or

python predict_norm.py  # load model with Normalization

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