052316 VU Deep Learning for Natural Language Processing (2022W)

This course will cover topics related to the application of DL (Deep Learning) techniques for solving NLP (Natural Language Processing) tasks. The first part will cover basic concepts of machine learning such as linear and logistic regression, as well as feed-forward neural networks and back propagation. The second part will introduce more advanced neural network networks such as CNNs and RNNs, as well as Python frameworks such as Numpy and Pytorch. The third part will continue with pretrained language models such as BERT, its variants, GPT and their applications in solving natural language processing tasks. Solid background of Python is highly relevant and necessary.