Unit 1
Introduction to neural networks – Gradient Descent Algorithm – Deep Neural Networks (DNN) –Convolutional Neural Network (CNN) – Recurrent Neural Network (RNN): Long-Short- Term-Memory (LSTM).
| Course Name | Deep Learning |
| Course Code | 23AID211 |
| Program | B.Tech in Artificial Intelligence and Data Science |
| Semester | 4 |
| Credits | 3 |
| Campus | Coimbatore , Amritapuri ,Faridabad , Bangaluru, Amaravati |
Introduction to neural networks – Gradient Descent Algorithm – Deep Neural Networks (DNN) –Convolutional Neural Network (CNN) – Recurrent Neural Network (RNN): Long-Short- Term-Memory (LSTM).
Pre-processing: Noise Removal using deep learning algorithms – Feature Extraction – Signal Analysis: Time Series Analysis, CNNs, Auto encoders.
Image Analysis: Transfer Learning, Attention models- Ensemble Methods for Signal and Image Analysis.
Course Objectives
Course Outcomes
After completing this course, students will be able to
|
CO1 |
Apply the fundamentals of deep learning. |
|
CO2 |
Apply deep learning algorithms using Matlab/Python. |
|
CO3 |
Apply deep learning models for signal analysis |
|
CO4 |
Implement deep learning models for image analysis. |
CO-PO Mapping
|
PO/PSO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
|
CO |
|||||||||||||||
|
CO1 |
3 |
2 |
2 |
– |
3 |
2 |
– |
– |
3 |
3 |
– |
3 |
2 |
3 |
2 |
|
CO2 |
3 |
2 |
2 |
2 |
3 |
3 |
– |
– |
3 |
3 |
2 |
3 |
3 |
3 |
2 |
|
CO3 |
3 |
2 |
2 |
2 |
3 |
3 |
– |
– |
3 |
3 |
2 |
3 |
3 |
3 |
2 |
|
CO4 |
3 |
3 |
2 |
2 |
3 |
3 |
– |
– |
3 |
3 |
2 |
3 |
3 |
3 |
3 |
Evaluation Pattern
|
Assessment |
Internal/External |
Weightage (%) |
|
Assignments (Minimum 2) |
Internal |
30 |
|
Quizzes (Minimum 2) |
Internal |
20 |
|
Mid-Term Examination |
Internal |
20 |
|
Term Project/ End Semester Examination |
External |
30 |
Textbooks & References:
Bishop C.M, “Pattern Recognition and Machine Learning”, Springer, 1st Edition, 2006.
Goodfellow I, Bengio Y, Courville A, & Bengio Y, “Deep learning”, Cambridge: MIT Press, 1st Edition, 2016.
Soman K.P, Ramanathan. R, “Digital Signal and Image Processing – The Sparse Way”, Elsevier, 1st Edition, 2012.
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