Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python
By 作者: Jason Brownlee
Publication Date 出版日期: 2018
Pages 页数: 574
Language 语言: English
pages 页数: PDF
Size: 10 Mb
The Book Description robot was collected from Amazon and arranged by Finelybook
Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality.
In this new Ebook written in the friendly Machine Learning Mastery style that you’re used to, skip the math and jump straight to getting results.
With clear explanations, standard Python libraries, and step-By 作者:-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.
Deep Learning for Time Series Forecasting.pdf