ICSE · Class 12 · Artificial Intelligence

Artificial Neural Networks

Chapter 2.iDifferent Paradigms of AI: Neural Networks, Machine Learning, Deep LearningISC · Class XII · examination 2027

2 worlds · 2 labs for this chapter.

Topics

Neural networks
- Nodes and input, hidden and output layers
- Forward and backward propagation
- Multi-layer perceptron
- Handwritten-digit recognition example

Explain how a multi-layer perceptron processes an input and learns by backpropagation.

Places to explore freely · 2 worlds

Built for this chapter · 2 labs

Questions for Class 12 Artificial Intelligence, with worked answers, on screen or as a printed paper.

ICSE · Class 12 · Artificial Intelligence

Chapter 2.iDifferent Paradigms of AI: Neural Networks, Machine Learning, Deep LearningISC · Class XII · examination 2027

2 worlds · 2 labs for this chapter.

Neural networks
- Nodes and input, hidden and output layers
- Forward and backward propagation
- Multi-layer perceptron
- Handwritten-digit recognition example

Explain how a multi-layer perceptron processes an input and learns by backpropagation.

Places to explore freely · 2 worlds

Built for this chapter · 2 labs

Questions for Class 12 Artificial Intelligence, with worked answers, on screen or as a printed paper.