com.intel.analytics.bigdl.nn

keras

package keras

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. keras
  2. AnyRef
  3. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Type Members

  1. class Activation[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Simple activation function to be applied to the output.

  2. class AtrousConvolution1D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Applies an atrous convolution operator for filtering neighborhoods of 1-D inputs.

  3. class AtrousConvolution2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Applies an atrous convolution operator for filtering windows of 2-D inputs.

  4. class AveragePooling1D[T] extends Pooling1D[T]

    Applies average pooling operation for temporal data.

  5. class AveragePooling2D[T] extends Pooling2D[T]

    Applies average pooling operation for spatial data.

  6. class AveragePooling3D[T] extends Pooling3D[T]

    Applies average pooling operation for 3D data (spatial or spatio-temporal).

  7. class BatchNormalization[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Batch normalization layer.

  8. class Bidirectional[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Bidirectional wrapper for RNNs.

  9. class ConvLSTM2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Convolutional LSTM.

  10. class Convolution1D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Applies convolution operator for filtering neighborhoods of 1-D inputs.

  11. class Convolution2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Applies a 2D convolution over an input image composed of several input planes.

  12. class Convolution3D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Applies convolution operator for filtering windows of three-dimensional inputs.

  13. class Cropping1D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Cropping layer for 1D input (e.

  14. class Cropping2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Cropping layer for 2D input (e.

  15. class Cropping3D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Cropping layer for 3D data (e.

  16. class Deconvolution2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Transposed convolution operator for filtering windows of 2-D inputs.

  17. class Dense[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    A densely-connected NN layer.

  18. class Dropout[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Applies Dropout to the input by randomly setting a fraction 'p' of input units to 0 at each update during training time in order to prevent overfitting.

  19. class ELU[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Exponential Linear Unit.

  20. class Embedding[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Turn positive integers (indexes) into dense vectors of fixed size.

  21. class Flatten[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Flattens the input without affecting the batch size.

  22. class GRU[T] extends Recurrent[T]

    Gated Recurrent Unit architecture.

  23. class GaussianDropout[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Apply multiplicative 1-centered Gaussian noise.

  24. class GaussianNoise[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Apply additive zero-centered Gaussian noise.

  25. class GlobalAveragePooling1D[T] extends GlobalPooling1D[T]

    Applies global average pooling operation for temporal data.

  26. class GlobalAveragePooling2D[T] extends GlobalPooling2D[T]

    Applies global average pooling operation for spatial data.

  27. class GlobalAveragePooling3D[T] extends GlobalPooling3D[T]

    Applies global average pooling operation for 3D data.

  28. class GlobalMaxPooling1D[T] extends GlobalPooling1D[T]

    Applies global max pooling operation for temporal data.

  29. class GlobalMaxPooling2D[T] extends GlobalPooling2D[T]

    Applies global max pooling operation for spatial data.

  30. class GlobalMaxPooling3D[T] extends GlobalPooling3D[T]

    Applies global max pooling operation for 3D data.

  31. abstract class GlobalPooling1D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Abstract class for different global pooling 1D layers.

  32. abstract class GlobalPooling2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Abstract class for different global pooling 2D layers.

  33. abstract class GlobalPooling3D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Abstract class for different global pooling 3D layers.

  34. class Highway[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Densely connected highway network.

  35. class KerasIdentityWrapper[T] extends KerasLayer[Activity, Activity, T]

    Wrap a torch style layer to keras style layer.

  36. abstract class KerasLayer[A <: Activity, B <: Activity, T] extends Container[A, B, T]

    KerasModule is the basic component of all Keras-like Layer.

  37. trait KerasLayerSerializable extends ContainerSerializable with TKerasSerializerHelper

  38. class KerasLayerWrapper[T] extends KerasLayer[Activity, Activity, T]

    Wrap a torch style layer to keras style layer.

  39. abstract class KerasModel[T] extends KerasLayer[Activity, Activity, T]

  40. class LSTM[T] extends Recurrent[T]

    Long Short Term Memory unit architecture.

  41. class LeakyReLU[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Leaky version of a Rectified Linear Unit.

  42. class LocallyConnected1D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Locally-connected layer for 1D inputs which works similarly to the TemporalConvolution layer, except that weights are unshared, that is, a different set of filters is applied at each different patch of the input.

  43. class LocallyConnected2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Locally-connected layer for 2D inputs that works similarly to the SpatialConvolution layer, except that weights are unshared, that is, a different set of filters is applied at each different patch of the input.

  44. class Masking[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Use a mask value to skip timesteps for a sequence.

  45. class MaxPooling1D[T] extends Pooling1D[T]

    Applies max pooling operation for temporal data.

  46. class MaxPooling2D[T] extends Pooling2D[T]

    Applies max pooling operation for spatial data.

  47. class MaxPooling3D[T] extends Pooling3D[T]

    Applies max pooling operation for 3D data (spatial or spatio-temporal).

  48. class MaxoutDense[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    A dense maxout layer that takes the element-wise maximum of linear layers.

  49. class Merge[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Used to merge a list of inputs into a single output, following some merge mode.

  50. class Permute[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Permutes the dimensions of the input according to a given pattern.

  51. abstract class Pooling1D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Abstract class for different pooling 1D layers.

  52. abstract class Pooling2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Abstract class for different pooling 2D layers.

  53. abstract class Pooling3D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Abstract class for different pooling 3D layers.

  54. abstract class Recurrent[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    This is the abstract base class for recurrent layers.

  55. class RepeatVector[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Repeats the input n times.

  56. class Reshape[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Reshapes an output to a certain shape.

  57. class SReLU[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    S-shaped Rectified Linear Unit.

  58. class SeparableConvolution2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Applies separable convolution operator for 2D inputs.

  59. class SimpleRNN[T] extends Recurrent[T]

    A fully-connected recurrent neural network cell.

  60. class SoftMax[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Just a wrapper class.

  61. class SpatialDropout1D[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Spatial 1D version of Dropout.

  62. class SpatialDropout2D[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Spatial 2D version of Dropout.

  63. class SpatialDropout3D[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Spatial 3D version of Dropout.

  64. class ThresholdedReLU[T] extends KerasLayer[Tensor[T], Tensor[T], T] with IdentityOutputShape

    Thresholded Rectified Linear Unit.

  65. class TimeDistributed[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    TimeDistributed wrapper.

  66. class UpSampling1D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    UpSampling layer for 1D inputs.

  67. class UpSampling2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    UpSampling layer for 2D inputs.

  68. class UpSampling3D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    UpSampling layer for 3D inputs.

  69. class ZeroPadding1D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Zero-padding layer for 1D input (e.

  70. class ZeroPadding2D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Zero-padding layer for 2D input (e.

  71. class ZeroPadding3D[T] extends KerasLayer[Tensor[T], Tensor[T], T]

    Zero-padding layer for 3D data (spatial or spatio-temporal).

  72. class Input[T] extends KerasLayer[Activity, Activity, T]

    Annotations
    @deprecated
    Deprecated

    (Since version 0.10.0)

  73. class Model[T] extends KerasModel[T]

    Annotations
    @deprecated
    Deprecated

    (Since version 0.10.0)

  74. class Sequential[T] extends KerasModel[T]

    Annotations
    @deprecated
    Deprecated

    (Since version 0.10.0)

Value Members

  1. object Activation extends Serializable

  2. val AtrousConv1D: AtrousConvolution1D.type

  3. val AtrousConv2D: AtrousConvolution2D.type

  4. object AtrousConvolution1D extends Serializable

  5. object AtrousConvolution2D extends Serializable

  6. object AveragePooling1D extends Serializable

  7. object AveragePooling2D extends Serializable

  8. object AveragePooling3D extends Serializable

  9. object BatchNormalization extends Serializable

  10. object Bidirectional extends Serializable

  11. val Conv1D: Convolution1D.type

  12. val Conv2D: Convolution2D.type

  13. val Conv3D: Convolution3D.type

  14. object ConvLSTM2D extends Serializable

  15. object Convolution1D extends Serializable

  16. object Convolution2D extends Serializable

  17. object Convolution3D extends Serializable

  18. object Cropping1D extends Serializable

  19. object Cropping2D extends Serializable

  20. object Cropping3D extends Serializable

  21. val Deconv2D: Deconvolution2D.type

  22. object Deconvolution2D extends Serializable

  23. object Dense extends Serializable

  24. object Dropout extends Serializable

  25. object ELU extends Serializable

  26. object Embedding extends Serializable

  27. object Flatten extends Serializable

  28. object GRU extends Serializable

  29. object GaussianDropout extends Serializable

  30. object GaussianNoise extends Serializable

  31. object GlobalAveragePooling1D extends Serializable

  32. object GlobalAveragePooling2D extends Serializable

  33. object GlobalAveragePooling3D extends Serializable

  34. object GlobalMaxPooling1D extends Serializable

  35. object GlobalMaxPooling2D extends Serializable

  36. object GlobalMaxPooling3D extends Serializable

  37. object Highway extends Serializable

  38. object Input extends Serializable

  39. object InputLayer

  40. object KerasLayerSerializer extends KerasLayerSerializable

  41. object KerasUtils

  42. object LSTM extends Serializable

  43. object LeakyReLU extends Serializable

  44. object LocallyConnected1D extends Serializable

  45. object LocallyConnected2D extends Serializable

  46. object Masking extends Serializable

  47. object MaxPooling1D extends Serializable

  48. object MaxPooling2D extends Serializable

  49. object MaxPooling3D extends Serializable

  50. object MaxoutDense extends Serializable

  51. object Merge extends Serializable

  52. object Model extends KerasLayerSerializable with Serializable

  53. object Permute extends Serializable

  54. object RepeatVector extends Serializable

  55. object Reshape extends Serializable

  56. object SReLU extends Serializable

  57. val SeparableConv2D: SeparableConvolution2D.type

  58. object SeparableConvolution2D extends Serializable

  59. object Sequential extends KerasLayerSerializable with Serializable

  60. object SimpleRNN extends Serializable

  61. object SoftMax extends Serializable

  62. object SpatialDropout1D extends Serializable

  63. object SpatialDropout2D extends Serializable

  64. object SpatialDropout3D extends Serializable

  65. object ThresholdedReLU extends Serializable

  66. object TimeDistributed extends Serializable

  67. object UpSampling1D extends Serializable

  68. object UpSampling2D extends Serializable

  69. object UpSampling3D extends Serializable

  70. object ZeroPadding1D extends Serializable

  71. object ZeroPadding2D extends Serializable

  72. object ZeroPadding3D extends Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped