Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the … Read more
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.
Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the … Read more