python-kerasHow do I compile a Python Keras program?

Compiling a Python Keras program involves several steps:

1. Install the required packages. This includes both the Keras library and any other packages necessary for the program to run.
2. Import the packages into the program. This is done using the import statement.
3. Write the program. This includes defining the model, loading the data, and compiling the model.
4. Train the model. This is done using the model.fit() method.
5. Evaluate the model. This is done using the model.evaluate() method.
6. Make predictions. This is done using the model.predict() method.
7. Save the model. This is done using the model.save() method.

Example code

# Import the packages
import keras
from keras.models import Sequential
from keras.layers import Dense

# Define the model
model = Sequential()
model.add(Dense(units=64, activation='relu', input_dim=100))
model.add(Dense(units=10, activation='softmax'))

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

# Train the model
model.fit(x_train, y_train, epochs=5, batch_size=32)

# Evaluate the model
loss_and_metrics = model.evaluate(x_test, y_test, batch_size=128)

# Make predictions
classes = model.predict(x_test, batch_size=128)

# Save the model
model.save('model.h5')

Helpful links

• Keras Documentation
• Keras Tutorials

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