Trading, Quant, Recurrent Neural Network, Machine Learning, Stock Market.
network, where a multi-layer RNN (with GRU layers) is fed into a dense layer (which includes a dropout layer). The number of layers, activations, and dropout percentage all are optimized during training. The “Accuracy” node is long convoluted set of TF operations that convert a prediction from the