利用人工智能的最新进展来预测股市走势

在本笔记中，我将创建一个预测股价走势的完整流程。请跟随我的脚步，我们将取得相当不错的结果。为此，我们将使用生成对抗网络 (GAN)，以 LSTM（一种递归神经网络）作为生成器，以卷积神经网络 (CNN) 作为判别器。「In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. 」