**22**
results

**22**
results

- Go to itemGated recurrent unit as introduced by Cho et al. There are two variants. The default one is based on 1406.1078v3 and has reset ga…0
- Go to itemThis layer applies average pooling in a single dimension. Corresponds to the Keras Average Pooling 1D Layer .0
- Go to itemThis layer applies average pooling in two dimensions. Corresponds to the Keras Average Pooling 2D Layer .0
- Go to itemThis layer applies average pooling in three dimensions. Corresponds to the Keras Average Pooling 3D Layer .0
- Go to itemThis layer applies max pooling in a single dimension. Corresponds to the Keras Max Pooling 1D Layer .0
- Go to itemThis layer applies max pooling in two dimensions. Corresponds to the Keras Max Pooling 2D Layer .0
- Go to itemThis layer applies max pooling in three dimensions. Corresponds to the Keras Max Pooling 3D Layer .0
- Go to itemGated recurrent unit as introduced by Cho et al. There are two variants. The default one is based on 1406.1078v3 and has reset ga…0
- Go to itemThis layer creates a convolution kernel that is convolved with the layer input over two dimensions. Corresponds to the Keras Conv…0
- Go to itemThis layer creates a convolution kernel that is convolved with the layer input over three dimensions. Corresponds to the Keras Co…0
- Go to itemThe need for transposed convolutions generally arises from the desire to use a transformation going in the opposite direction of …0
- Go to itemThis layer performs convolution in a single dimension with a factorization of the convolution kernel into two smaller kernels. Co…0
- Go to itemThis layer creates a convolution kernel that is convolved with the layer input over a single dimension. Corresponds to the Keras …0
- Go to itemThis layer performs convolution in two dimensions with a factorization of the convolution kernel into two smaller kernels. Corres…0
- Go to itemThis layer creates a convolution kernel that is convolved with the layer input over a single dimension. Corresponds to the Keras …0
- Go to itemThis layer creates a convolution kernel that is convolved with the layer input over two dimensions. Corresponds to the Keras Conv…0
- Go to itemThis layer creates a convolution kernel that is convolved with the layer input over three dimensions. Corresponds to the Keras Co…0
- Go to itemNode / Other
~~Keras Transposed Convolution 2D Layer (deprecated)~~The need for transposed convolutions generally arises from the desire to use a transformation going in the opposite direction of …0 - Go to itemNode / Other
~~Keras Separable Convolution 1D Layer (deprecated)~~This layer performs convolution in a single dimension with a factorization of the convolution kernel into two smaller kernels. Co…0 - Go to itemNode / Other
~~Keras Separable Convolution 2D Layer (deprecated)~~This layer performs convolution in two dimensions with a factorization of the convolution kernel into two smaller kernels. Corres…0

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