求书：Long Short-Term Memory Networks With Python。
https://machinelearningmastery.com/lstms-with-python/
里面有股票预测的实例。有美刀的可买来分享。有了书，我愿意翻译股票预测实例，免费分享出来。
The lessons are divided into three parts:
Part 1: Foundations. The lessons in this section are designed to give you an understanding of how LSTMs work, how to prepare data, and the life-cycle of LSTM models in the Keras library.
Part 2: Models. The lessons in this section are designed to teach you about the different types of LSTM architectures and how to implement them in Keras.
Part 3: Advanced. The lessons in this section are designed to teach you how to get the most from your LSTM models.
Part I. Foundations
Lesson 01: What are LSTMs.
Lesson 02: How to Train LSTMs.
Lesson 03: How to Prepare Data for LSTMs.
Lesson 04: How to Develop LSTMs in Keras.
Lesson 05: Models for Sequence Prediction.
Part II. Models
Lesson 06: How to Develop Vanilla LSTMs.
Lesson 07: How to Develop Stacked LSTMs.
Lesson 08: How to Develop CNN LSTMs.
Lesson 09: How to Develop Encoder-Decoder LSTMs.
Lesson 10: How to Develop Bidirectional LSTMs.
Lesson 11: How to Develop Generative LSTMs.
Part III. Advanced
Lesson 12: How to Diagnose and Tune LSTMs.
Lesson 13: How to Make Predictions with LSTMs.
Lesson 14: How to Update LSTM Models.