Bibliography

Complementary literature (journal/conference papers) will be provided whenever needed.

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

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

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

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

5. R. C. Gonzalez & R. E. Woods. Digital Image Processing, Pearson, 4o. edition, 2018.

6. R. Szeliski. Computer Vision Algorithms and Applications, Springer, 2011.

7. M. Kubat. An Introduction to Machine Learning. 2nd. edition, Springer, 2017.

8. S. Skansi. Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence, Springer, 2018.

9. C.C. Aggarwal. Neural Networks and Deep Learning: A Textbook, Springer, 2018.

10. M. Petrou and P. Garcia. Image Processing: Dealing with Texture. Wiley, 2006.