Multi-output Neural Network

A multi-output neural network is a type of neural network that is capable of predicting multiple outputs for a given input. This is in contrast to a traditional neural network, which is typically only capable of predicting a single output. Multi-output neural networks are often used in tasks where the relationship between the input and the output is more complex, such as in natural language processing or computer vision.

Stock Market Forecasting Neural Networks for Multi-Output Regression in Python

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Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the final output layer determines how many steps the model can predict. Models with one output return single-step forecasts. Models with various outputs can return entire series of time steps and thus deliver a more detailed … Read more