Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python) by LazyProgrammer

Author:LazyProgrammer
Language: eng
Format: epub
Published: 2016-08-07T22:00:00+00:00

def train_poetry():

# students: tanh didn't work but you should try it

sentences, word2idx = get_robert_frost()

rnn = SimpleRNN(30, 30, len(word2idx))

rnn.fit(sentences, learning_rate=10e-5, show_fig=True, activation=T.nnet.relu, epochs=2000)

rnn.save('RNN_D30_M30_epochs2000_relu.npz')

def generate_poetry():

sentences, word2idx = get_robert_frost()

rnn = SimpleRNN.load('RNN_D30_M30_epochs2000_relu.npz', T.nnet.relu)

rnn.generate(word2idx)

if __name__ == '__main__':

train_poetry()

generate_poetry()

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