Special Studies in

Applied Computational Intelligence

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Tentative Schedule

 
semana   T L Proposed subject Class notes to do
1 12/jun 2   Introduction to Neural Networks & Machine Learning & Deep Learning aula1-intro VideoLectures
    2        
2 19/jun 2   Convolutional Neural Networks aula2-deeplearning  
    2     aula3-CNN Assignment - Family - CNN
Assignment - Species - CNN
3 26/jun 2   Siamese Neural Networks aula4-SNN Assignment2a - TL - Family
    2   Transfer Learning aula5-TL Assignment2b - TL - Species
4 03/jul 2        
    2        
5 10/jul 2   Generative Adversarial Neural Networks aula6-GAN Assignment3b - GAN
    2   Recurrent Neural Networks & LSTM aula7-LSTM Assignment3a - LSTM
6 17/jul 2        
    2        
             
7 07/aug 2   Apache Hadoop, Kafka, Spark aula8a-BD Assignment4 - BigData
    2     aula8b-Spark-Kafka  
8 14/aug 2   Geometric Deep Learning (M.Vaz), Differentiable Neural Computer (A. Santos)    
    2   Deep Predictive Coding Network (L. Schneider)    
9 21/aug 2   Pointer Networks (P. Palar), Open-set Network (B. Solari)    
    2   Deep Q-Learning (R. Tchalski), Capsule Networks (N. Dalmedico), Branch CNN (L. Albini)    
10 28/aug 2   Discussion about the final project    
    2        
11 04/sep 2   Graph Neural Network Model (O. Jorge)    
    2   Discussion about the final project    
 12 11/sep 2   Checkpoint for the final project    
    2        
  02/oct     "Article-like" report due    
09/oct     Seminary for presentation of the final project    

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Copyright H.S.Lopes
Last update: 10 setembro, 2019.