codes/Python/p04-advanced/1-conditional-DCGAN/conditional-DCGAN.py
def create_mb_for_G(mb_size):
    '''
    data generator to train Generator network

    Args:
        mb_size: number of samples of minibatch

    Returns:
        random state and conditional code with the same size of mb_size
    '''
    while True:
        z, _, code = G_sampler(G_net, mb_size)
        yield z, code

    data generator to train Generator network

    Args:
        mb_size: number of samples of minibatch

    Returns:
        random state and conditional code with the same size of mb_size
    
data generator to train Generator network
data generator to train Generator network
def create_mb_for_G(mb_size):
    while True:
        z, _, code = G_sampler(G_net, mb_size)
        yield z, code
def create_mb_for_G ( mb_size ) : while True : z , _ , code = G_sampler ( G_net , mb_size ) yield z , code
data generator to train Generator network
data generator to train Generator network
'''
    data generator to train Generator network

    Args:
        mb_size: number of samples of minibatch

    Returns:
        random state and conditional code with the same size of mb_size
    '''
random state and conditional code with the same size of mb_size
random state and conditional code with the same size of mb_size
mb_size
number of samples of minibatch
number of samples of minibatch