O'Reilly logo

Practical Time Series Analysis by Dr. PKS Prakash, Dr. Avishek Pal

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Convolutional neural networks

This section describes Convolutional Neural Networks (CNNs) that are primarily applied to develop supervised and unsupervised models when the input data are images. In general, two-dimensional (2D) convolutions are applied to images but one-dimensional (1D) convolutions can be used on a sequential input to capture time dependencies. This approach is explored in this section to develop time series forecasting models.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required