Trading, Quant, Recurrent Neural Network, Machine Learning, Stock Market.
outputs, final_state = tf.nn.dynamic_rnn(cell, inputs, initial_state=initial_state) # Then feed into a dropout layer dense_layer = tf.contrib.layers.dropout(outputs[:,-1], keep_prob=keep_prob) # ... and a dense layer dense_layer = tf.layers.dense(dense_layer, dense_units, activation=tf.nn.selu) #