discussed about the fundamentals of the ANN and its applications.

1. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
ARTIFICIAL NEURAL NETWORKS
Dr. Vikram Neerugatti
Associate Professor
Department of CSE
11/11/2022 ANN by Dr. Vikram Neerugatti 1

2. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
• Basic Concepts in Neural Networks
• Neural Networks Applications
• Feed Forward networks
• Feed Forward networks – Training Issues
• ANN architecture & its Types
• Deep Learning concepts
• Deep Learning concepts- Back Propagation N/W
• CNN – Object detection and Retrieval of image
Content
11/11/2022 ANN by Dr. Vikram Neerugatti 2

3. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
✓ ANN- ML Techniques
✓ Human- Cell – Neurons
✓ Neurons– axons & dendrites
✓ Connected region – synapses
✓ Strength of synapses –
changes – stimuli
✓ Change - learning
Basic Concepts in Neural Networks
11/11/2022 ANN by Dr. Vikram Neerugatti 3

4. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
Basic Concepts in Neural Networks
11/11/2022 ANN by Dr. Vikram Neerugatti 4

5. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
✓ Images – carrot / banana
✓ an adjustment in the
synaptic strengths- more
Classification/Prediction.
✓ Weights-Computation
Units.
✓ model generalization
(MG).
✓ ML-MG
Basic Concepts in Neural Networks
11/11/2022 ANN by Dr. Vikram Neerugatti 5

6. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
✓ ANN – inspired by least-
squares regression and
logistic regression.
✓ ANN – viewed as
computational graph –
elementary units – to gain
greater power
Basic Concepts in Neural Networks
11/11/2022 ANN by Dr. Vikram Neerugatti 6

7. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
✓ Regression
✓ least-squares regression
✓ logistic regression
Basic Concepts in Neural Networks
11/11/2022 ANN by Dr. Vikram Neerugatti 7

8. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
✓ Images – carrot / banana
✓ credit-card fraud detection
application
✓ Facial Recognition
✓ Social Media
✓ Healthcare
✓ Agriculture
✓ Handwriting Analysis
Applications in Neural Networks
11/11/2022 ANN by Dr. Vikram Neerugatti 8

9. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
✓ Single Layer and Multi layer neural networks -
Architecture of Neural Networks
✓ Single Layer – perceptron – set of inputs is
directly mapped to an output by using a
generalized variation of a linear function.
✓ Multi Layer - feed-forward network- input and
output layers are separated by a group of hidden
layers.
Feed Forward Networks
11/11/2022 ANN by Dr. Vikram Neerugatti 9

10. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
✓ Single Layer and Multi layer neural networks -
Architecture of Neural Networks
✓ Set of features and class variables (+/-) – each
training instance.
✓ Aggregated value
✓ Sign function - activation function- to simulate
models of ML
Feed Forward Networks-Single
11/11/2022 ANN by Dr. Vikram Neerugatti 10

11. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
✓ Multi Layer - Architecture of Neural Networks
✓ Multi Layer - feed-forward network- input and
output layers are separated by a group of hidden
layers.
✓ FFN- because successive layers feed into one
another in the forward direction from input to
output.
Feed Forward Networks-Multi Layer
11/11/2022 ANN by Dr. Vikram Neerugatti 11

12. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
11/11/2022 ANN by Dr. Vikram Neerugatti 12

13. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
11/11/2022 ANN by Dr. Vikram Neerugatti 13
Any Questions/Clarifications/Doubts

14. JAIN
–
DEEMED
TO
BE
UNIVERSITY
GLOBAL
CAMPUS:
45th
km
NH
-
209
Jakkasandra
Post,
Kanakapura
Rd,
Bengaluru,
Karnataka
562112
Department of CSE
11/11/2022 ANN by Dr. Vikram Neerugatti 14
Thank you all