Stock Market Prediction using Neural Networks for Multi-Output Regression in Python
In time series regression, the number of neurons in the final output layer determines how many steps in a time series the model can predict. We can design neural network architectures with multiple outputs in time-series forecasting to forecast more extended periods. Models with one output return single-step forecasts. Models … Read more