INNER CODE UNIT · Python

build_model

jisungk/deepjazz · lstm.py:19

def build_model(corpus, val_indices, max_len, N_epochs=128):
    # number of different values or words in corpus
    N_values = len(set(corpus))

    # cut the corpus into semi-redundant sequences of max_len values
    step = 3
    sentences = []
    next_values = []
    for i in range(0, len(corpus) - max_len, step):
        sentences.append(corpus[i: i + max_len])
        next_values.append(corpus[i + max_len])
    print('nb sequences:', len(sentences))

    # transform data into binary matrices
    X = np.zeros((len(sentences), max_len, N_values), dtype=np.bool)
    y = np.zeros((len(sentences), N_values), dtype=np.bool)
    for i, sentence in enumerate(sentences):
        for t, val in enumerate(sentence):

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