def train_poetry(): X, Y, V = get_poetry_classifier_data(samples_per_class=500) rnn = SimpleRNN(30, V) rnn.fit(X, Y, learning_rate=1e-6, show_fig=True, activation=T.nnet.relu, epochs=1000)
def train_poetry(): X, Y, V = get_poetry_classifier_data(500) srn = SRN(30, V) srn.fit(X, Y, learning_rate=10e-7, show_fig=True, activation=T.nnet.relu, epochs=300)
def train_poetry(): X, Y, V = get_poetry_classifier_data(samples_per_class=500) rnn = SimpleRNN(30, V) rnn.fit(X, Y, learning_rate=10e-7, show_fig=True, activation=T.nnet.relu, epochs=1000)
def train_poetry(): X, Y, V = get_poetry_classifier_data(samples_per_class=500)
def train_poetry(): X, Y, V = get_poetry_classifier_data(samples_per_class=500) rnn = SimpleRNN(30, V)