sequenceUnfoldingLayer
Sequence unfolding layer
Description
A sequence unfolding layer restores the sequence structure of the input data after sequence folding.
To use a sequence unfolding layer, you must connect theminiBatchSize
output of the corresponding sequence folding layer to theminiBatchSize
input of the sequence unfolding layer. For an example, seeCreate Network for Video Classification.
Creation
Description
creates a sequence unfolding layer.layer
= sequenceUnfoldingLayer
Properties
Examples
Extended Capabilities
Version History
See Also
lstmLayer
|bilstmLayer
|gruLayer
|classifyAndUpdateState
|predictAndUpdateState
|resetState
|sequenceFoldingLayer
|flattenLayer
|sequenceInputLayer
Topics
- Classify Videos Using Deep Learning
- Classify Videos Using Deep Learning
- Sequence Classification Using Deep Learning
- Time Series Forecasting Using Deep Learning
- Sequence-to-Sequence Classification Using Deep Learning
- Long Short-Term Memory Networks
- Visualize Activations of LSTM Network
- Specify Layers of Convolutional Neural Network
- Set Up Parameters and Train Convolutional Neural Network
- 深度学习在MATLAB
- List of Deep Learning Layers