Web Reference: Returns a Keras optimizer object via its configuration. get(...): Retrieves a Keras Optimizer instance. serialize(...): Returns the optimizer configuration as a Python dict. Was this helpful? You can either instantiate an optimizer before passing it to model.compile() , as in the above example, or you can pass it by its string identifier. In the latter case, the default parameters for the optimizer will be used. Jul 23, 2025 · Optimizers adjust weights of the model based on the gradient of loss function, aiming to minimize the loss and improve model accuracy. In TensorFlow, optimizers are available through tf.keras.optimizers. You can use these optimizers in your models by specifying them when compiling the model.
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