Professor: Rosana Rego
Part 01: Introduction to Neural Network
- Perceptron Network
- Adaline Network
- Feedforward Multilayer Perceptron (MLP)
- Backpropagation
- Least mean squares (LMS)
- Metrics
- Feedforward Radial Basis Function (RBF)
- 1.1 Regularização (L1, L2)
- 1.2 Early Stopping
- 1.3 Dropout
- Long short-term memory (LSTM)
- Gated Recurrent Unit (GRU)
- Convolutional neural network (CNN)
- Final Project
🤜 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
- 📚 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
