Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:API
|
| gptkbp:allows |
linear stack of layers
|
| gptkbp:analyzes |
gptkb:board_game
Keras callbacks |
| gptkbp:can_be_extended_by |
pre-trained models
custom layers |
| gptkbp:can_be_used_to |
GPU acceleration
data augmentation transfer learning batch normalization multi-GPU training |
| gptkbp:can_include |
Convolutional layers
Pooling layers Dropout layers Dense layers |
| gptkbp:captures |
Tensor Flow Saved Model format
HDF5 file |
| https://www.w3.org/2000/01/rdf-schema#label |
Keras Sequential models
|
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:CNTK gptkb:Theano |
| gptkbp:is_documented_in |
Keras documentation
|
| gptkbp:is_part_of |
Keras library
|
| gptkbp:is_popular_in |
deep learning community
|
| gptkbp:is_supported_by |
tutorials
community forums online courses Git Hub repositories |
| gptkbp:is_trained_in |
gptkb:SGD_optimizer
gptkb:RMSprop_optimizer gptkb:Adam_optimizer backpropagation stochastic gradient descent |
| gptkbp:is_used_by |
gptkb:developers
gptkb:researchers data scientists |
| gptkbp:provides |
fit method
evaluate method predict method |
| gptkbp:requires |
input shape
|
| gptkbp:suitable_for |
reinforcement learning
image classification time series forecasting text classification |
| gptkbp:supports |
callbacks
custom metrics custom loss functions layer stacking |
| gptkbp:type |
gptkb:neural_networks
|
| gptkbp:used_for |
building deep learning models
|
| gptkbp:bfsParent |
gptkb:tf.keras.callbacks._Model_Checkpoint
|
| gptkbp:bfsLayer |
5
|