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About make_batch of NNLM #67

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KODGV opened this issue Apr 30, 2021 · 0 comments

KODGV commented Apr 30, 2021 •

edited

input = [word_dict[n] for n in word[:-1]]  # create (1~n-1) as input
target = [word_dict[word[-1]]]

it constraints the length of input and n_step. I think the following example is even better

    for i in range(len(words) - window_size + 1):`
       ` x_train.append(words[i: i + window_size - 1])`
        `y_train.append(words[i + window_size - 1])

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