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Neural Networks — Basics — The Complete AI Engineer Roadmap
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Phase 2 – AI & Machine Learning & Deep Learning & Data Science fundamentalsNeural Networks & Deep Learning

Neural Networks — Basics

2.2 · Neural Networks & Deep Learning

Learn the core building blocks of deep learning

What You'll Learn

0 / 8 Completed
What is a neural network and how it works
Perceptron, neurons, layers (input / hidden / output)
Activation functions (ReLU, Sigmoid, Tanh, Softmax)
Forward & backward propagation
Loss functions
Gradient descent
Backpropagation fundamentals
Overfitting vs underfitting basics
Resources & Documentation0 Resources

No topic resources added yet.