TIM-8131

Kotu, V. and Deshpande, B. (2018). Deep Learning. In Data Science Concepts and Practice, 2nd Edition. Morgan Kaufmann.
Read Chapter 10

Shakya, A.K., Pillai, G., Chakrabarty, S. (2023). Reinforcement learning algorithms: A brief survey. Expert Systems with Applications, 231.

Gui, J., Chen, T., Zhang, J., Cao, Q., Sun, Z., Luo, H., & Tao, D. (2023). A survey on self-supervised learning: Algorithms, applications, and future trends.

Sarker, I. H. (2021). Deep learning: A comprehensive overview on techniques, taxonomy, applications and research directions. SN Computer Science, 2(6).

Dong, S., Wang, P., & Abbas, K. (2021). A survey on deep learning and its applications. Computer Science Review, 40.

Shlezinger, N., Eldar, Y. C., & Boyd, S. P. (2022). Model-based deep learning: On the intersection of deep learning and optimization. IEEE Access, Access, IEEE, 10, 115384–115398.

Goodfellow, I., Bengio, Y., & Courville, A. (2016.). Deep learning from Adaptive computation and machine learning series. MIT Press.

Kotu, V. and Deshpande, B. (2018). Getting Started with RapidMiner. In Data Science Concepts and Practice, 2nd Edition. Morgan Kaufmann.
Read Chapter 15