24 KiB
24 KiB
| title | short_title | description | category | weight |
|---|---|---|---|---|
| Keras Import Supported Features | Supported Features | Supported Keras features. | Keras Import | 2 |
Keras Model Import: Supported Features
Little-known fact: Deeplearning4j's creator, Skymind, has two of the top five Keras contributors on our team, making it the largest contributor to Keras after Keras creator Francois Chollet, who's at Google.
While not every concept in DL4J has an equivalent in Keras and vice versa, many of the key concepts can be matched. Importing keras models into DL4J is done in our deeplearning4j-modelimport module. Below is a comprehensive list of currently supported features.
Layers
Mapping keras to DL4J layers is done in the layers sub-module of model import. The structure of this project loosely reflects the structure of Keras.
Core Layers
- Dense
- Activation
- Dropout
- Flatten
- Reshape
- Merge
- Permute
- RepeatVector
- Lambda
- ActivityRegularization
- Masking
- SpatialDropout1D
- SpatialDropout2D
- SpatialDropout3D
Convolutional Layers
- Conv1D
- Conv2D
- Conv3D
- AtrousConvolution1D
- AtrousConvolution2D
- SeparableConv1D
- SeparableConv2D
- Conv2DTranspose
- Conv3DTranspose
- Cropping1D
- Cropping2D
- Cropping3D
- UpSampling1D
- UpSampling2D
- UpSampling3D
- ZeroPadding1D
- ZeroPadding2D
- ZeroPadding3D
Pooling Layers
- MaxPooling1D
- MaxPooling2D
- MaxPooling3D
- AveragePooling1D
- AveragePooling2D
- AveragePooling3D
- GlobalMaxPooling1D
- GlobalMaxPooling2D
- GlobalMaxPooling3D
- GlobalAveragePooling1D
- GlobalAveragePooling2D
- GlobalAveragePooling3D
Locally-connected Layers
Recurrent Layers
Embedding Layers
Merge Layers
- Add / add
- Multiply / multiply
- Subtract / subtract
- Average / average
- Maximum / maximum
- Concatenate / concatenate
- Dot / dot
Advanced Activation Layers
Normalization Layers
Noise Layers
Layer Wrappers
- TimeDistributed
- Bidirectional
Losses
- mean_squared_error
- mean_absolute_error
- mean_absolute_percentage_error
- mean_squared_logarithmic_error
- squared_hinge
- hinge
- categorical_hinge
- logcosh
- categorical_crossentropy
- sparse_categorical_crossentropy
- binary_crossentropy
- kullback_leibler_divergence
- poisson
- cosine_proximity
Activations
- softmax
- elu
- selu
- softplus
- softsign
- relu
- tanh
- sigmoid
- hard_sigmoid
- linear
Initializers
- Zeros
- Ones
- Constant
- RandomNormal
- RandomUniform
- TruncatedNormal
- VarianceScaling
- Orthogonal
- Identity
- lecun_uniform
- lecun_normal
- glorot_normal
- glorot_uniform
- he_normal
- he_uniform
Regularizers
- l1
- l2
- l1_l2
Constraints
- max_norm
- non_neg
- unit_norm
- min_max_norm
Optimizers
- SGD
- RMSprop
- Adagrad
- Adadelta
- Adam
- Adamax
- Nadam
- TFOptimizer