Deep learning for Natural Language Processing

2018

Classes:

• intro to natural language processing
• quick primer on deep learning
• word representations
• convolutional neural networks, recurrent neural networks
• advanced neural network architectures

Tutorials (click save as and open as jupyter notebook):

• multi layer perceptron
• tensors
• classification (optional)
• tagging
• sentiment analysis
• language modeling
• translation with attention

2017

Classes:

• intro to natural language processing
• quick primer on deep learning
• word representations
• convolutional neural networks, recurrent neural networks
• advanced neural network architectures

Tutorials:

• neural networks with Keras [notebook]
• word embeddings [support files, notebook]
• sentiment analysis [support files, notebook]
• language modeling [support files, notebook]
• image and text representations [support files, images, notebook]