None
Getting started
Developer guides
Code examples
Keras 3 API documentation
Models API
Layers API
Callbacks API
Ops API
Optimizers
Metrics
Losses
Data loading
Tree API
Built-in small datasets
Keras Applications
Mixed precision
Multi-device distribution
RNG API
Quantizers
Scope
Rematerialization
Utilities
Experiment management utilities
Model plotting utilities
Structured data preprocessing utilities
Tensor utilities
Bounding boxes
Python & NumPy utilities
Bounding boxes utilities
Visualization utilities
Preprocessing utilities
Backend utilities
Scikit-Learn API wrappers
Keras configuration utilities
Keras 2 API documentation
KerasTuner: Hyperparam Tuning
KerasHub: Pretrained Models
KerasRS
Get started
Guides
API
Examples
Keras Hub
Keras RS
Keras Tuner
Keras 3 API documentation
Models API
Layers API
Callbacks API
Ops API
Optimizers
Metrics
Losses
Data loading
Tree API
Built-in small datasets
Keras Applications
Mixed precision
Multi-device distribution
RNG API
Quantizers
Scope
Rematerialization
Utilities
Experiment management utilities
Model plotting utilities
Structured data preprocessing utilities
Tensor utilities
Bounding boxes
Python & NumPy utilities
Bounding boxes utilities
Visualization utilities
Preprocessing utilities
Backend utilities
Scikit-Learn API wrappers
Keras configuration utilities
Keras 2 API documentation
►
Keras 3 API documentation
/ Utilities
Utilities
Experiment management utilities
Config class
Model plotting utilities
plot_model function
model_to_dot function
Structured data preprocessing utilities
FeatureSpace class
Tensor utilities
get_source_inputs function
is_keras_tensor function
is_float_dtype function
is_int_dtype function
standardize_dtype function
Bounding boxes
affine_transform function
clip_to_image_size function
compute_ciou function
compute_iou function
convert_format function
crop function
decode_deltas_to_boxes function
encode_box_to_deltas function
pad function
Python & NumPy utilities
set_random_seed function
split_dataset function
pack_x_y_sample_weight function
unpack_x_y_sample_weight function
get_file function
Progbar class
to_categorical function
normalize function
Bounding boxes utilities
affine_transform function
clip_to_image_size function
compute_ciou function
compute_iou function
convert_format function
crop function
decode_deltas_to_boxes function
encode_box_to_deltas function
pad function
Visualization utilities
draw_bounding_boxes function
draw_segmentation_masks function
plot_bounding_box_gallery function
plot_image_gallery function
plot_segmentation_mask_gallery function
Preprocessing utilities
smart_resize function
load_img function
save_img function
PyDataset class
Backend utilities
get_uid function
result_type function
Scikit-Learn API wrappers
SKLearnClassifier class
SKLearnRegressor class
SKLearnTransformer class
Keras configuration utilities
version function
clear_session function
enable_traceback_filtering function
disable_traceback_filtering function
is_traceback_filtering_enabled function
enable_interactive_logging function
disable_interactive_logging function
is_interactive_logging_enabled function
enable_unsafe_deserialization function
floatx function
set_floatx function
image_data_format function
set_image_data_format function
epsilon function
set_epsilon function
backend function
set_backend function
enable_flash_attention function
disable_flash_attention function
is_flash_attention_enabled function
is_nnx_enabled function
max_epochs function
set_max_epochs function
max_steps_per_epoch function
set_max_steps_per_epoch function
Utilities
Experiment management utilities
Model plotting utilities
Structured data preprocessing utilities
Tensor utilities
Bounding boxes
Python & NumPy utilities
Bounding boxes utilities
Visualization utilities
Preprocessing utilities
Backend utilities
Scikit-Learn API wrappers
Keras configuration utilities