Namespace layers

Layer RNNCell

activation add alphaDropout average averagePooling1d averagePooling2d averagePooling3d batchNormalization bidirectional categoryEncoding centerCrop concatenate conv1d conv2d conv2dTranspose conv3d convLstm2d convLstm2dCell cropping2D dense depthwiseConv2d dot dropout elu embedding flatten gaussianDropout gaussianNoise globalAveragePooling1d globalAveragePooling2d globalMaxPool1d globalMaxPool2d globalMaxPooling1d globalMaxPooling2d gru gruCell inputLayer layerNormalization leakyReLU lstm lstmCell masking maxPool1d maxPool2d maxPooling1d maxPooling2d maxPooling3d maximum minimum multiply permute prelu randomWidth reLU repeatVector rescaling reshape resizing rnn separableConv2d simpleRNN simpleRNNCell softmax spatialDropout1d stackedRNNCells thresholdedReLU timeDistributed upSampling2d zeroPadding2d