python-kerasHow can I use Python Keras optimizers to optimize my model?

Keras optimizers are an important part of the model optimization process. Optimizers can help improve the accuracy of the model by adjusting the weights of the model in order to minimize the loss function.

Using a Keras optimizer is relatively straightforward. The following example shows how to use the Adam optimizer to optimize a model:

# Import the Adam optimizer
from keras.optimizers import Adam

# Create an Adam optimizer
optimizer = Adam(lr=0.001)

# Compile the model
model.compile(optimizer=optimizer, loss='binary_crossentropy', metrics=['accuracy'])

# Fit the model
model.fit(X, y, epochs=100)

Code explanation

1. Import the Adam optimizer - from keras.optimizers import Adam
2. Create an Adam optimizer - optimizer = Adam(lr=0.001)
3. Compile the model - model.compile(optimizer=optimizer, loss='binary_crossentropy', metrics=['accuracy'])
4. Fit the model - model.fit(X, y, epochs=100)

Helpful links

• Keras Optimizers
• Adam Optimizer

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