New
v3.13.0
BREAKING changes
Starting with version 3.13.0, Keras now requires Python 3.11 or higher. Please ensure your environment is updated to Python 3.11+ to install the latest version.
Highlights
LiteRT Export
You can now export Keras models directly to the LiteRT format (formerly TensorFlow Lite) for on-device inference. This changes comes with improvements to input signature handling and export utility documentation. The changes ensure that LiteRT export is only available when TensorFlow is installed, update the export API and documentation, and enhance input signature inference for various model types.
Example:
import keras
import numpy as np
# 1. Define a simple model
model = keras.Sequential([
keras.layers.Input(shape=(10,)),
keras.layers.Dense(10, activation="relu"),
keras.layers.Dense(1, activation="sigmoid")
])
# 2. Compile and train (optional, but recommended before export)
model.compile(optimizer="adam", loss="binary_crossentropy")
model.fit(np.random.rand(100, 10), np.random.randint(0, 2, 100), epochs=1)
# 3. Export the model to LiteRT format
model.export("my_model.tflite", format="litert")
print("Model exported successfully to 'my_model.tflite' using LiteRT format.")