Syllabus
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Course Code: PE-CS-D409L Course Name: Neural Networks and Deep Learning Lab |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | 1. To Write a program to implement Perceptron. | |
| 2 | 2. To write a program to implement AND OR gates using Perceptron. | |
| 3 | 3. To implement Crab Classification using pattern net Objective. | |
| 4 | 4. To write a program to implement Wine Classification using Back propagation | |
| 5 | 5. Write a MatLab Script containing four functions Addition, Subtraction, Multiply and Divide functions. | |
| 6 | 6. Write a program to implement classification of linearly separable Data with a perceptron. | |
| 7 | 7. To study ImageNet, GoogleNet, ResNet convolutional Neural Networks. | |
| 8 | 8. To study Convolutional Neural Network and Recurrent Neural Network. | |
