Special Studies in

Applied Computational Intelligence

horizontal rule

Home
Bibliography
Students
Scheduling
Grades
Student projects
Datasets
Frameworks

Bibliography an support materials

 

bulletRecommended bibliography:
bulletGoodfellow, I., Bengio, Y., Courville, A. Deep Learning. MIT Press, 2016.
bulletSumathi, S., Paneerselvam, S. Computational Intelligence Paradigms: Theory & Applications using MATLAB . CRC Press, 2010.
bulletKruse, R., Borgelt, C. Computational Intelligence: a Methodological Introduction . Springer, 2013
bulletCamastra, F., Vinciarelli, A., Machine Learning for Audio, Image and Video Analysis . Springer, 2008 [link]
bulletRaschka, S. Python Machine Learning . Packt, 2015
bulletSebe, N., Cohen, I., Garg, A., Huang, T.S., Machine Learning in Computer Vision . Springer, 2005
bulletChollet, F., Deep Learning with Python . Manning, 2018

 

bullet

Papers and on-line books:

bullet

LABIC - Local paper repository

bullet

Deep Learning University - Annotated Bibliography

bullet

On-line book: Neural Networks and Deep Learning

 

bullet

Lectures, videolectures, documents, tutorials, etc...:

bullet

Lectures:

bullet

Deep Learning (Udacity)

bullet

Intro to Parallel Programming (Udacity)

bullet

Programming Massively Parallel Processors with CUDA (Stanford University)

bullet

Parallel Computing with GPUs (Sheffield University)

bullet

CUDA Programming on NVIDIA GPUs (Oxford University)

bullet

Youtube videolectures:

bullet

MIT Deep Learning basics - Introduction

bullet

Deep Learning Summer School 2015

bullet

Siamese Network

bullet

Illustrated Guide to LSTM's and GRU's

bullet

Data Augmentation

bullet

Object Localization

bullet

YOLO algorithm

bullet

One-shot learning for face recognition

bullet

Siamese network for face recognition

bullet

Understanding ROC and AUC

bullet

Sensitivity and Specificity explained

bullet

Confusion Matrix explained

bullet

Principal Components Analysis explained

bullet

Tutorials:

bullet

Tutorial: A Beginner's Guide to GANs

bullet

Tutorial: Understanding GANs

bullet

Tutorials PCA (USP) - credits: Washington Ramos

bullet

Tutorial: Machine Learning in Computer Vision -  A.Joshi, A. Cherian, R. Shivalingam

bullet

Tutorial: deep learning: do-it-yourself - Marc Lelarge

bullet

Lecture notes (Stanford): Convolutional Neural Networks for Visual Recognition

bullet

Other:

bullet

YOLO: Real-time object detection

bullet

CUDA Toolkit Documentation v8.0.61, API's & Documents, (NVIDIA)

bullet

Jupyter Notebook

bullet

Deep Learning site

bullet

Frameworks tutorials: tensorflow; theano; pyTorch; scikit-learn; numPy

 

horizontal rule

Copyright H.S.Lopes
Last update: 18 junho, 2019.