Deep Learning for Time Series Forecasting

Discover how to bring Deep Learning methods to your time series forecasting problems.

Everything You Need To Know about Deep Learning for Time Series

MLP, CNN and LSTM Deep Learning Models
Univariate, Multivariate, Multi-step and Classification
CNN-LSTMs, ConvLSTMs, and Encoder-Decoder LSTMs
Develop one-week forecasts for household power usage
Classify activities from smartphone accelerometer data

Customers are Saying:

Excellent book covering / comparing both deep learning and classical methods for time series. The code is clear and easily transferable to my own work.

The book is very clear, well written and easy to apply.

The book is very comprehensive, yet, it is organized in a way that allows quick browsing and finding of the deep learning angle that is right for my project.

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Everything You Need To Know about Deep Learning for Time Series

MLP, CNN and LSTM Deep Learning Models
Univariate, Multivariate, Multi-step and Classification
CNN-LSTMs, ConvLSTMs, and Encoder-Decoder LSTMs
Develop one-week forecasts for household power usage
Classify activities from smartphone accelerometer data

Customers are Saying:

Excellent book covering / comparing both deep learning and classical methods for time series. The code is clear and easily transferable to my own work.

The book is very clear, well written and easy to apply.

The book is very comprehensive, yet, it is organized in a way that allows quick browsing and finding of the deep learning angle that is right for my project.

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