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Bibliography

The books used to prepare this course are listed below.

1. V.K. Ayyadevara and Y. Reddy. Modern Computer Vision with Pytorch. Packt, 2020.

2. S. Raschka. Build a Large Language Model (From Scratch), Manning, Sep 2024.

3. A. Zhang, Z.C. Lipton, M. LI, and A.J. Smola. Dive into Deep Learning: Interactive deep learning book with code, math, and discussions, https://d2l.ai/, 2020.

4. F. Chollet. Deep Learning with Python. Manning, 2018.

5. A. Géron. Hands-on Machine Learning with Scikit-Learn, Keras & Tensorflow. O'Reilly, 2nd Ed., 2019.

6. S. Vajjala, B. Majumder, A. Gupta, and H. Surana. Practical Natural Language Processing. O'Reilly, 2020.

7. D. Sarkar. Text Analytics with Python. Apress, 2019.

8. S. Ravichandiran. Getting started with Google BERT. Packt, 2021.

9. K. Koutroumbas and S. Theodoridis. Pattern Recognition. 4th Ed., Academic Press, 2009.