Recurrent Neural Netwoks for Natural Language Processing

Ponente

• Katarzyna Baraniak. ML Researcher. Warsaw, Mazowieckie, Poland

Descripción

This talk discusses recurrent neural networks including the most common architectures Simple RNN, LSTM and GRU. Training, types and applications of RNNs for NLP problems are explained. Also, the suitable text representations like word embedding is explained.

During this workshop simple text generation model will be created using LSTM Network.

Please bring your laptops for the hands-on session and make sure you have access to Google Colab or Jupyter-notebooks with Python and Pytorch installed.

Esta charla/taller es en inglés

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• Inteligencia Artificial (X Semana Informática)