README.md

Artificial Neural Network (ANN)

Professor: Rosana Rego

PEX0023 - REDES NEURAIS ARTIFICIAIS

Bacharelado em Engenharia de Computação - UFERSA

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Part 01: Introduction to Neural Network

1. Perceptron Network
2. Adaline Network
3. Feedforward Multilayer Perceptron (MLP)
4. Backpropagation
5. Least mean squares (LMS)
6. Metrics
7. Feedforward Radial Basis Function (RBF)

Project I: AWS DeepRacer

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Part 02: Deep Learning

1. Deep Feedforward Networks

• 1.1 Regularização (L1, L2)
• 1.2 Early Stopping
• 1.3 Dropout

2. Recurrent neural network (RNN)

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Part 03

1. Long short-term memory (LSTM)
2. Gated Recurrent Unit (GRU)
3. Convolutional neural network (CNN)
4. Final Project

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🤜 Dataquest Academic Program Link

🦾 Frameworks

• TensorFlow
• Keras
• PyTorch
• Caffe
• Theano
• CNTK
• MXNet
• Chainer
• Torch
• PaddlePaddle
• Apache SINGA
• Apache SystemML

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⚙️ Sites legais

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• Neural Network Zoo
• Neural Network Playground
• Neural Network Visualizer
• Neural Network Design

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Ferramentas implementadas com modelos redes neurais

• Google Lens
• ChatGPT
• DeepFace
• DeepDream
• DeepFake
• DeepText

Banco de datasets

• UCI Machine Learning Repository
• Kaggle Datasets
• Google Dataset Search

Livros

• 📚 Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville
• 📚 Neural Networks and Deep Learning - Michael Nielsen
• 📚 Deep Learning with Python - François Chollet
• 📚 Deep Learning for Coders with fastai and PyTorch - Jeremy Howard, Sylvain Gugger
• 📚 Deep Learning with Keras - Antonio Gulli, Sujit Pal
• 📚 Deep Learning with PyTorch - Eli Stevens, Luca Antiga, Thomas Viehmann
• 📚 Deep Learning with TensorFlow - Tom Hope, Bharath Ramsundar, Brian McMahan, Arvind Ramanathan, Quoc V. Le
• 📚 Deep Learning with CNTK - Tom Hope, Bharath Ramsundar, Brian McMahan, Arvind Ramanathan, Quoc V. Le
• 📚 Deep Learning with Apache MXNet - Thomas Viehmann, Thomas Viehmann, Thomas Viehmann, Thomas Viehmann, Thomas Viehmann

UFERSA - Campus Pau dos Ferros