layers

Type Members

1. class AveragePooling1D[T] extends keras.layers.AveragePooling1D[T] with Net

   Average pooling operation for temporal data.

2. class Conv1D[T] extends Convolution1D[T] with Net

   1D convolution layer (e.

3. class Dense[T] extends keras.layers.Dense[T] with Net

   A densely-connected NN layer.

4. class GlobalAveragePooling1D[T] extends keras.layers.GlobalAveragePooling1D[T] with Net

   Applies global average pooling operation for temporal data.

5. class GlobalAveragePooling2D[T] extends keras.layers.GlobalAveragePooling2D[T] with Net

   Applies global average pooling operation for spatial data.

6. class GlobalAveragePooling3D[T] extends keras.layers.GlobalAveragePooling3D[T] with Net

   Applies global average pooling operation for 3D data.

7. class GlobalMaxPooling1D[T] extends keras.layers.GlobalMaxPooling1D[T] with Net

   Applies global max pooling operation for temporal data.

8. class GlobalMaxPooling2D[T] extends keras.layers.GlobalMaxPooling2D[T] with Net

   Applies global max pooling operation for spatial data.

9. class GlobalMaxPooling3D[T] extends keras.layers.GlobalMaxPooling3D[T] with Net

   Applies global max pooling operation for 3D data.

10. class MaxPooling1D[T] extends keras.layers.MaxPooling1D[T] with Net

    Max pooling operation for temporal data.

11. class Maximum[T] extends Merge[T] with Net

    Layer that computes the maximum (element-wise) a list of inputs.

12. class Minimum[T] extends Merge[T] with Net

    Layer that computes the minimum (element-wise) a list of inputs.