Palestras dadas para estudantes de pos-graduacao do Departamento de Neurobiologia da Universidade Federal Fluminense, RJ Brasil em Agosto, 14 a 16 de 2017.
Três palestras:
Bibliografia:
Livros:
Hands-On Machine Learning with Scikit-Learn & TensorFlow by Aurelien Geron, O'Reilly 2017
Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, The MIT Press 2016
Papers:
“Dermatologist-level classification of skin cancer with deep neural networks”, Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen M. Blau, and Sebastian Thrun. Nature 542, 115–118 (02 February 2017)
“Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks”, Pranav Rajpurkar, Awni Y. Hannun, Masoumeh Haghpanahi, Codie Bourn, Andrew Y. Ng. Submitted July 6th 2017
“Image-to-Image Translation with Conditional Adversarial Networks”, Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A. ARXIV, 2016
“Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence”, by Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba & Aude Oliva. Scientific Reports 6, Article number: 27755 (2016)
“Sparse Coding with an Overcomplete Basis Set: A Strategy Employed by V1?”, Bruno A.Olshausen, David J. Field. Vision Research, Vol 37, Issue 23, Dec 1997
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