Erasmus Mundus Master in Language
and Communication Technologies (LCT)


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Language & communication technologies

University of the Basque Country

Deep Learning

Deep Learning neural network models have been successfully applied to natural language processing, and are now changing radically how we interact with machines (Siri, Amazon Alexa, Google Home, Skype translator, Google Translate, or the Google search engine). These models are able to infer a continuous representation for words and sentences, instead of using hand-engineered features as in other machine learning approaches. The seminar will introduce the main deep learning models used in natural language processing, allowing the attendees to gain hands-on understanding and implementation of them in Tensorflow.

Syllabus

  1. Introduction to machine learning and NLP with Tensorflow
  2. Multilayer Perceptron
  3. Word embeddings and recurrent neural networks
  4. Seq2seq, neural machine translation and better RNNs
  5. Attention, Neural machine Translation and Natural Language Inference
  6. Transfer learning
  7. Bridging the gap between natural languages and the visual world
  8. Convolutional neural networks for text

  9. ← program Hizkuntzaren Azterketa eta Prozesamendua