Time distributed layer
时间: 2023-12-22 16:00:38 浏览: 29
A time distributed layer is a type of layer in neural networks that is used for processing time series data. It is used to apply the same layer to each time step in a sequence of input data. This means that the layer is applied to each time step independently, and the output is then concatenated to produce the final output.
For example, in a convolutional neural network, a time distributed layer can be used to apply convolutional filters to each time step in a sequence of data. This allows the network to extract features from the time series data at each time step, which can then be used to make predictions.
Time distributed layers are commonly used in applications such as speech recognition, natural language processing, and video analysis, where the input data is a sequence of time-dependent observations.