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2 months ago Hi @pavitraag! Thanks for opening this issue. We appreciate your contribution to this open-source project. Your input is valuable and we aim to respond or assign your issue as soon as possible. Thanks again!
Is there an existing issue for this?
Feature Description
A Multilayer Perceptron (MLP) is a class of feedforward artificial neural networks (ANN) that consists of at least three layers of nodes: an input layer, one or more hidden layers, and an output layer. Each node (except for the input nodes) uses a nonlinear activation function. MLPs are capable of learning complex patterns in data through supervised learning and are widely used for tasks such as classification, regression, and prediction.
Use Case
Integrating MLP into the project would significantly enhance its predictive modeling capabilities. Users could apply MLPs to a variety of applications, such as image recognition, speech recognition, and financial forecasting, to achieve high accuracy and performance. This feature would make the project more versatile and powerful, enabling it to handle a broader range of complex real-world problems efficiently.
Benefits
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Add ScreenShots
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Priority
High
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