Day 48: 60 days of Data Science and Machine Learning Series

Multilayer Perceptron with project

Naina Chaturvedi
Coders Mojo

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Pic credits : ResearchGate

Multilayer Perceptron is basically ( or a class of ) a feedforward artificial neural network which is composed of an input layer to receive the signal, an output layer that makes a decision or prediction about the input, and an arbitrary number of hidden layers for the computation. They provide a nonlinear mapping between the input layer and a corresponding output layer. They are like “hello world” of deep learning.

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Naina Chaturvedi
Coders Mojo

🇺🇸,World Traveler, Sr. SDE, Researcher Cornell Uni, Women in Tech, Coursera Instructor ML & GCP, Trekker, IITB,Reader,I write for fun@AI & Python publications