- Neural Networks with Keras Cookbook
- V Kishore Ayyadevara
- 124字
- 2021-07-02 12:46:34
Getting ready
To predict a stock price, we will perform the following steps:
- Order the dataset from the oldest to the newest date.
- Take the first five stock prices as input and the sixth stock price as output.
- Slide it across so that in the next data point the second to the sixth data points are input and the seventh data point is the output, and so on, till we reach the final data point.
- Given that it is a continuous number that we are predicting, the loss function this time shall be the mean squared error value.
Additionally, we will also try out the scenario where we integrate the text data into the historic numeric data to predict the next day's stock price.
推薦閱讀
- Boost.Asio C++ Network Programming(Second Edition)
- Advanced Machine Learning with Python
- Software Defined Networking with OpenFlow
- Maven Build Customization
- Vue.js入門與商城開發實戰
- 區塊鏈:以太坊DApp開發實戰
- Web Application Development with MEAN
- PostgreSQL 11從入門到精通(視頻教學版)
- Kotlin Standard Library Cookbook
- INSTANT Django 1.5 Application Development Starter
- Mastering JBoss Enterprise Application Platform 7
- Python入門很輕松(微課超值版)
- Lift Application Development Cookbook
- H5+移動營銷設計寶典
- Python無監督學習