There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "That's exactly what the ModelCheckpoint callback does for us."

A block of code is set as follows:

def binary_accuracy(y_true, y_pred):
    return K.mean(K.equal(y_true, K.round(y_pred)), axis=-1)

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

def build_network(input_features=None):
    inputs = Input(shape=(input_features,), name="input")
    x = Dense(32, activation='relu', name="hidden1")(inputs)
    x = Dense(32, activation='relu', name="hidden2")(x)
    x = Dense(32, activation='relu', name="hidden3")(x)
    x = Dense(32, activation='relu', name="hidden4")(x)
    x = Dense(16, activation='relu', name="hidden5")(x)
    prediction = Dense(1, activation='linear', name="final")(x)
    model = Model(inputs=inputs, outputs=prediction)
    model.compile(optimizer='adam', loss='mean_absolute_error')
    return model

Any command-line input or output is written as follows:

model-weights.00-0.971304.hdf5
model-weights.02-0.977391.hdf5
model-weights.05-0.985217.hdf5

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Select System info from the Administration panel."