Multilayer Perceptron (MLP) Artificial Neural Networks (ANN) are presented in detail, from both the viewpoints of Mathematics and Data Science. In the former, the overall operation is given in terms of the Gradient Descent and Backpropagation algorithms, which are explained and implemented from scratch. The second viewpoint presents the usage of some Python libraries which implement this kind of ANN.
All explanations and implementations are given in Jupyter Notebooks and a presentation.
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Minicourse on Introduction to Computer Vision (11/05/2018)
Presented by Vitor, Vinicius and Artur. The Minicourse on Introduction to Computer Vision aims to present the field of Computer Vision focusing on neural techniques for classification. Subjects range from Digital Image Processing with OpenCV to Convolutional Neural Networks. The fourth part (of five) of it is this minicourse on MLPs.
 Vinicius Campos |
 Vitor Greati |
 Artur Curinga |
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This project is licensed under the Apache License 2.0 - see the LICENSE.md file for details.