12 results
- 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 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 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 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 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 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 performs convolution in two dimensions with a factorization of the convolution kernel into two smaller kernels. Corres…0