Artificial Neural Networks

Code: PINF6061
Course: Master's degree in computer science
Credits: 4
Hourly load: 60

Bibliography: * Goodfellow, Ian, Bengio, Yoshua, and Courville, Aaron. Deep Learning. MIT Press, 2016.
* Russell, Stuart, and Norvig, Peter. Artificial Intelligence: A Modern Approach (AIMA). 4th ed. Pearson, 2020.
* HASTIE, Trevor; TIBSHIRANI, Robert; FRIEDMAN, Jerome. The elements of statistical learning: data mining, inference, and prediction. Springer Science & Business Media, 2009. URL: http://www-stat.stanford.edu/~hastie/Papers/ESLII.pdf
* Géron, Aurélien. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow. 3rd ed. O'Reilly, 2024.
* Zhang, Aston, Lipton, Zachary C., and Smola, Alexander J. Dive into Deep Learning. Cambridge University Press. https://d2l.ai
* Haykin, Simon. Neural Networks and Learning Machines. 3rd ed. Pearson, 2008.
* BISHOP, C. M.Pattern Recognition and Machine Learning Christopher, Springer New York, 2007
* RAUBER, T. W. Inteligência Numérica, Aprendizagem de Máquina — Redes Neurais — Inteligência Artificial, A ser publicado em 2026,: Pasta da disciplina no Drive