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GLOBAL INSTITUTE OF TECHNOLOGY
Department of Computer Science & Engineering
Machine Learning (6CS4-02)
Artificial Neural Network (ANN)
Presented by:
Loveleen Kumar
Assistant Professor

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Artificial Neural Network (ANN) | Loveleen
Kumar
Machine learning algorithms almost always require structured data,
while deep learning networks rely on layers of ANN (artificial neural
networks)
Deep Learning models can be used for a variety of complex tasks:
1. Artificial Neural Networks(ANN) for Regression and classification
2. Convolutional Neural Networks(CNN) for Computer Vision
3. Recurrent Neural Networks(RNN) for Time Series analysis
4. Self-organizing maps for Feature extraction
5. Deep Boltzmann machines for Recommendation systems
6. Auto Encoders for Recommendation systems

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Kumar
A biological Neuron
Neurons
Biological Neurons (also called nerve cells) or simply neurons are the fundamental
units of the brain and nervous system, the cells responsible for receiving sensory
input from the external world via dendrites, process it and gives the output through
Axons.

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Kumar
A single layer neural network is called a Perceptron. It gives a single output.

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Kumar
Multilayer Neural Network

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Kumar
Weight Adjustment using Backpropagation

7Artificial Neural Network (ANN) | Loveleen Kumar

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