def model(X, w1, s1, theta1, t1, w2, s2, theta2, t2, D, G, p_drop_lista, p_drop_hidden):
a1 = L.lista(X, w1, s1, theta1, t1)
a1 = L.dropout(a1, p_drop_lista)
y = T.dot(a1, G)
y = L.dropout(y, p_drop_hidden)
a2 = L.lista(y, w2, s2, theta2, t2)
a2 = L.dropout(a2, p_drop_lista)
x_o = T.dot(a2, D)
return a1, y, a2, x_o
def model(X, w1, s1, theta1, t1, w2, s2, theta2, t2, D, G, E, BE, p_drop_lista, p_drop_hidden):
input_dropout = L.dropout(X, p=0.2)
a1 = L.lista(input_dropout, w1, s1, theta1, t1)
a1 = L.dropout(a1, p_drop_lista)
y = T.dot(a1, G)
y = L.dropout(y, p_drop_hidden)
a2 = L.lista(y, w2, s2, theta2, t2)
a2 = L.dropout(a2, p_drop_lista)
x_o = T.dot(a2, D)
p = L.softmax(T.dot(L.dropout(y, p_drop_hidden), E) + BE)
out_class = T.argmax(p, axis=1)
return a1, y, a2, x_o, p, out_class
