def __init__(self, conv_sizes, dense_sizes, scope='<STR_LIT>', summary_labels=()):
network = []<EOL>for size in conv_sizes:<EOL><INDENT>network.append(dict(type='<STR_LIT>', size=size))<EOL><DEDENT>network[<NUM_LIT:0>]['<STR_LIT>'] = <NUM_LIT:5><EOL>network.append(dict(type='<STR_LIT>'))  <EOL>for size in dense_sizes:<EOL><INDENT>network.append(dict(type='<STR_LIT>', size=size))<EOL><DEDENT>super(CNNBaseline, self).__init__(network=network, scope=scope, summary_labels=summary_labels)<EOL>
CNN baseline.

Args:
    conv_sizes: List of convolutional layer sizes
    dense_sizes: List of dense layer sizes