Professora: Rosana Rego
Unidade I: Introdução às Redes Neurais
- Rede Perceptron
- Rede Adaline
- Perceptron Multicamadas (Multilayer Perceptron - MLP)
- Algoritmo Backpropagation
- Métricas de Avaliação
- Rede de Função de Base Radial (Radial Basis Function - RBF)
Unidade II: Deep Learning
- Redes Neurais Profundas (Deep Feedforward Networks)
- Redes Neurais Convolucionais (Convolutional Neural Network - CNN)
- Inteligência Artificial Explicável (Explainable AI - XAI)
- Redes Neurais Recorrentes (Recurrent Neural Network - RNN)
- Memória de Curto e Longo Prazo (Long Short-Term Memory - LSTM)
- Unidade Recorrente com Portas (Gated Recurrent Unit - GRU)
- Processamento de Linguagem Natural (Natural Language Processing - NLP)
- Transformers
🤜 Dataquest Academic Program Link
- TensorFlow
- Keras
- PyTorch
- Caffe
- Theano
- CNTK
- MXNet
- Chainer
- Torch
- PaddlePaddle
- Apache SINGA
- Apache SystemML
- 📚 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
UFERSA - Campus Pau dos Ferros


