Machine learning algorithms almost always require structured data, while deep learning networks rely on layers of ANN (artificial neural networks)

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

2. 2
Artificial Neural Network (ANN) | Loveleen
Kumar
GLOBAL INSTITUTE OF TECHNOLOGY
Department of Computer Science & Engineering
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

3. 3
Artificial Neural Network (ANN) | Loveleen
Kumar
GLOBAL INSTITUTE OF TECHNOLOGY
Department of Computer Science & Engineering
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.

4. 4
Artificial Neural Network (ANN) | Loveleen
Kumar
GLOBAL INSTITUTE OF TECHNOLOGY
Department of Computer Science & Engineering
A single layer neural network is called a Perceptron. It gives a single output.

5. 5
Artificial Neural Network (ANN) | Loveleen
Kumar
GLOBAL INSTITUTE OF TECHNOLOGY
Department of Computer Science & Engineering
Multilayer Neural Network

6. 6
Artificial Neural Network (ANN) | Loveleen
Kumar
GLOBAL INSTITUTE OF TECHNOLOGY
Department of Computer Science & Engineering
Weight Adjustment using Backpropagation

7. 7Artificial Neural Network (ANN) | Loveleen Kumar
GLOBAL INSTITUTE OF TECHNOLOGY
Department of Computer Science & Engineering