使用遗传算法优化循环神经网络的配置_python_Jupyter _代码_下载

## Using Genetic Algorithm to optimize Recurrent Neural Network's configuration <p><a href="https://github.com/aqibsaeed/Genetic-Algorithm-RNN/blob/master/Genetic-Algorithm-RNN.ipynb">Python notebook</a> for the blog post <a href="http://aqibsaeed.github.io/2017-08-11-genetic-algorithm-for-optimizing-rnn/">Using Genetic Algorithm for optimizing Recurrent Neural Network</a>.</p> ### Tools Required Python 3.5 is used during development and following packages are required to run the code provided in the notebook: * Keras and Tensorflow * [DEAP](https://github.com/DEAP/deap) * Numpy * Pandas ### Dataset The wind forecasting dataset used in the tutorial, can be downloaded from the following [link](https://www.kaggle.com/c/GEF2012-wind-forecasting/data).