optimizeRNN.py 文件源码

def model(params):

    max_len = 5
    n_songs = 7
    classifier = DeepRNN(*params, max_len, n_songs)

    acc = classifier.train(X_train, Y_train, X_val, Y_val, SNR)

    return {'loss': -acc, 'status': STATUS_OK, 'model': model}