(u, v)

(Z, T, Y, W2)

(T, Y, W2, Z)

(T, Y)

(T, Y)

(X, Z, T, Y, W2)

(X, Z, T, Y, W2)

(Z, T, Y)

(Z, T, Y)

(t, lvl=0)

()

(file_id, dest)

(p, t)

(p, t)

(p, t)

(p, t)

(p, t)

(targets, predictions)

(p, t)

(p, t)

()

(init=big_init)

(init=simple_init)

(init=simple_init)

()

()

()

(self, X, Y, col)

(self, X, max_iter=10, print_period=1)

(self, X, learning_rate=0.001, max_iter=10, V=None, p_cost=1.0, print_period=10)

(self, X, learning_rate=0.001, max_iter=10, V=None, print_period=1)

(self, X, Y, V)

(self, X, max_iter=30)

(self, X, max_iter=30)

(self, X, Y, learning_rate=1e-4, mu=0.9, decay=0.9, epochs=8, batch_sz=100, show_fig=False)

(self, X, Y, lr=1e-3, mu=0.99, decay=0.999, epochs=300, batch_sz=100, split=True, print_every=20)

(self, X, Y, Xtest, Ytest)

(self, X, Y, lr=1e-4, mu=0.99, reg=1e-6, decay=0.99999, eps=1e-2, batch_sz=30, epochs=100, show_fig=True)

(self, X, Y, learning_rate=10e-1, mu=0.99, reg=1.0, activation=T.tanh, epochs=500, show_fig=False)

(self, X, Y, learning_rate=10e-1, mu=0.99, reg=1.0, activation=tf.tanh, epochs=100, show_fig=False)

(self, X, Y, batch_sz=20, learning_rate=10e-1, mu=0.99, reg=1.0, activation=T.tanh, epochs=100, show_fig=False

(self, X, learning_rate=10e-5, mu=0.99, epochs=10, batch_sz=100, show_fig=True, activation=T.nnet.relu, Recurr

(self, X, Y, batch_sz=20, learning_rate=10e-1, mu=0.99, activation=tf.nn.sigmoid, epochs=100, show_fig=False)

(self, X, learning_rate=10e-1, mu=0.99, reg=1.0, activation=T.tanh, epochs=500, show_fig=False)

(self, X, Y, learning_rate=10e-1, mu=0.99, reg=1.0, activation=T.tanh, epochs=100, show_fig=False)

(self, X, epochs=500, show_fig=False)

(self, X, num_neg_samples=10, learning_rate=1e-4, mu=0.99, reg=0.1, epochs=10)

(self, trees, learning_rate=3*1e-3, mu=0.99, reg=1e-4, epochs=15, activation=T.nnet.relu, train_inner_nodes=Fa

(self, trees, lr=1e-1, mu=0.9, reg=0.1, epochs=5)

(self, trees, learning_rate=1e-3, mu=0.5, reg=1e-2, eps=1e-2, epochs=20, activation=T.tanh, train_inner_nodes=

(self, trees, lr=10e-3, mu=0.9, reg=10e-2, epochs=5)

(self, sentences, cc_matrix=None, learning_rate=1e-4, reg=0.1, xmax=100, alpha=0.75, epochs=10, gd=False, use_

(self, df)

(self, X, Y)

(self, X, epochs=30, batch_sz=64)

(self, X, Y)

(self, X, epochs=30, batch_sz=64)

(self, X, epochs=30, batch_sz=64)

(self, X, Y)

(self, X, epochs=30, batch_sz=64)

(self, X, Y)

(self, X, epochs=1, batch_sz=100, show_fig=False)

(self, X, Y, Xtest, Ytest, pretrain=True, epochs=1, batch_sz=100)

(self, X, Y, learning_rate=0.01, mu=0.99, epochs=30, batch_sz=100)

(self, X, learning_rate=0.5, mu=0.99, epochs=1, batch_sz=100, show_fig=False)

(self, X, Y, smoothing=10e-3)

(self, X, Y, smoothing=10e-3)

(self, X, Y, activation=T.tanh, learning_rate=10e-2, mu=0.5, reg=0, epochs=2000, show_fig=False)

(X, Y, sample, deg)

()

()

()

()

()

(self, k, learning_rate=0.00001, mu=0.99, reg=10e-10, epochs=20000)

(self, df)

(X, W1, b1, W2, b2)

(X, W1, b1, W2, b2)

(X, W1, b1, W2, b2)

(x)

(x, W1, W2)

(X, W, b)

(X, W1, b1, W2, b2)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)

(self, X)