1-9. RNN.py 文件源码

def RNN(x, weights, biases):

    x = tf.unstack(x, n_steps, 1)
    # Define a lstm cell
    lstem_cell = rnn.BasicLSTMCell(n_hidden,forget_bias = 1.0)

    outputs, states = rnn.static_rnn(lstem_cell,x,dtype=tf.float32)

    return tf.matmul(outputs[-1],weights['out'])+biases['out']