title: How do you use Keras LeakyReLU in Python?
body: <p>I am trying to produce a CNN using Keras, and wrote the following code:</p>
  
  <pre><code>batch_size = 64
  epochs = 20
  num_classes = 5
  
  cnn_model = Sequential()
  cnn_model.add(Conv2D(32, kernel_size=(3, 3), activation='linear',
                       input_shape=(380, 380, 1), padding='same'))
  cnn_model.add(Activation('relu'))
  cnn_model.add(MaxPooling2D((2, 2), padding='same'))
  cnn_model.add(Conv2D(64, (3, 3), activation='linear', padding='same'))
  cnn_model.add(Activation('relu'))
  cnn_model.add(MaxPooling2D(pool_size=(2, 2), padding='same'))
  cnn_model.add(Conv2D(128, (3, 3), activation='linear', padding='same'))
  cnn_model.add(Activation('relu'))
  cnn_model.add(MaxPooling2D(pool_size=(2, 2), padding='same'))
  cnn_model.add(Flatten())
  cnn_model.add(Dense(128, activation='linear'))
  cnn_model.add(Activation('relu'))
  cnn_model.add(Dense(num_classes, activation='softmax'))
  
  cnn_model.compile(loss=keras.losses.categorical_crossentropy,
                    optimizer=keras.optimizers.Adam(), metrics=['accuracy'])
  </code></pre>
  
  <p>I want to use Keras's <strong>LeakyReLU</strong> activation layer instead of using <code>Activation('relu')</code>. However, I tried using <code>LeakyReLU(alpha=0.1)</code> in place, but this is an activation layer in Keras, and I get an error about using an activation layer and not an activation function.</p>
  
  <p>How can I use <strong>LeakyReLU</strong> in this example?</p>