Trading, Quant, Recurrent Neural Network, Machine Learning, Stock Market.
... followed by a single node dense layer final_predictions = tf.layers.dense(dense_layer,n_outputs,activation=tf.sigmoid) The graph looks like this: Tensorboard graph visualization (The multi_rnn namespace is connected to accuracy by a variable placeholder, batch size). It’s a fairly simple