Professor: Sandro da Silva Camargo
Pré-Requisitos: Não
Horas: 30
Créditos: 2
Semestre: 2º

Ementa:
Basic concepts of Artificial Neural Networks (ANN). Basic concepts of Python  programming. Machine Learning with Python. Tensorflow library. Regularization and Dropout. Convolutional Neural Networks. Transfer learning. Classification and Regression tasks.

Bibliografia:

• Goodfellow, I.; Bengio, Y.; Courville, A.. Deep Learning. MIT Press. 2016. Available at http://www.deeplearningbook.org
• Ng, A. Y-T. Machine Learning Yearning. Available at: https://github.com/ajaymache/machine-learning-yearning
• Zhang, A.; Lipton, Z. C.; Li, M.; Smola A. J.. Dive into Deep Learning. Release 0.17.5. Available at https://d2l.ai/d2l-en.pdf