Complementary literature (journal/conference papers) will be provided
whenever needed.
- V.K. Ayyadevara and Y. Reddy. Modern Computer Vision with
Pytorch. Packt, 2020.
- F. Chollet. Deep Learning with Python. Manning, 2018.
- A. Géron. Hands-on Machine Learning with Scikit-Learn, Keras &
Tensorflow. O'Reilly, 2nd Ed., 2019.
- K. Koutroumbas and S. Theodoridis. Pattern Recognition. 4th Ed.,
Academic Press, 2009.
- R. C. Gonzalez & R. E. Woods. Digital Image Processing,
Pearson, 4o. edition, 2018.
- R. Szeliski. Computer Vision Algorithms and Applications,
Springer, 2011.
- M. Kubat. An Introduction to Machine Learning. 2nd. edition,
Springer, 2017.
- S. Skansi. Introduction to Deep Learning: From Logical Calculus
to Artificial Intelligence, Springer, 2018.
- C.C. Aggarwal. Neural Networks and Deep Learning: A Textbook,
Springer, 2018.
- M. Petrou and P. Garcia. Image Processing: Dealing with
Texture. Wiley, 2006.
