Course module

Machine Learning — GATE 2027 Data Science and Artificial Intelligence (DA) Complete Course

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Lessons
7
Duration
—
PYQs
13
Practice
8

3% of this course's PYQ weight is covered in this module.

Syllabus index

Lessons in this module

Artificial Neural Networks

Introduction to Artificial Neural Networks

  1. Introduction to Artificial Neural NetworksPdf

Perceptron and Activation Functions

  1. Perceptron and Activation FunctionsPdf

Multi-Layer Perceptron and Backpropagation

  1. Multi-Layer Perceptron and BackpropagationPdf

Neural Network Architectures

  1. Neural Network ArchitecturesPdf

Training of Hopfield Networks

  1. Training of Hopfield NetworksPdf

Unsupervised Learning and Clustering

  1. Unsupervised Learning and ClusteringPdf

Self-Organizing Maps (SOM)

  1. Self-Organizing Maps (SOM)Pdf

Previous-year questions

PYQ collectionPYQ Questions2 questionsPYQ collectionPYQ Questions3 questionsPYQ collectionPYQ Questions2 questionsPYQ collectionPYQ Questions2 questionsPYQ collectionPYQ Questions9 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions2 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions4 questionsPYQ collectionPYQ Questions13 questions

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