IN4334 - Machine Learning for Software Engineering

Tutorials

See the following curated list of tutorials:

• A Quick Introduction to Neural Networks, by ujjwalkarn.

• Notes of the Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition.

• Leonardo Santos’ AI and ML tutorials.

• The original papers on XLNet and BERT.

• A tutorial on Seq2Seq with Attention and Beam Search by Guillaume Genthial.

• A tutorial on translating with Seq2Seq network and attention.

• Understanding word vectors, by Allison Parish.

• An explanation about NLP word embeddings by Mohammed Terry-Jack.

• Pytorch transformers, a new library of state-of-the-art pretrained models for Natural Language Processing (NLP).

• “The Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning” book (e-book available via TU Delft library).

• The Neural Network Zoo.