Programa de Verão do LNCC – Jornada de Ciência de Dados (10-13/fev)

Lectures

Lecture 1  (10th of February)

Lecture 2 (11th of February)

Lecture 3a, Lecture3b (12th of February)

Lecture 4 (13th of February)

Code

• PyTorch colab notebook (demos & examples)

Additional Resources

• Neural Networks and Deep Learning (Michael Nielsen’s book)
• Deep Learning Book  (Goodfellow et al’s book)
• Introdução à Aprendizagem Profunda
• Machine Learning Yearning (Andrew Ng’s book)
• Deep Learning Specialization (Coursera Course)
• CS231n: Convolutional Neural Networks for Visual Recognition
• The Unreasonable Effectiveness of Recurrent Neural Networks
• Understanding LSTM Networks
• Uncertainty in Deep Learning (Yarin Gal’s PhD thesis)
• Theories of Deep Learning (Course at Stanford University)
• Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI
• Generative Adversarial Networks – Hot Topic in Machine Learning
• gans-awesome-applications
• Some cool applications of GANs