batch_norm.py 文件源码

def batch_norm(tparams, input, options, prefix='cnn'):

    """ layer1_input:  n_sample * n_feature    64*20
        input_shape: (num of hiddens, number of input features)   200*20
        pred_shape: (num of labels, number of hiddens) 2*200
        y_recon : n_label *n_sample 2*64
    """

    input_hat=(input-input.mean(0))/(input.std(0)+1.0/options['L'])
    input_=input_hat*tparams[_p(prefix,'gamma')]+tparams[_p(prefix,'beta')]
    return input_