Deep Learning for Natural Language Processing
From 22/1/2019 to 7/2/2019 in San Sebastian
Register before 15/12/2018!
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.
This course is a 30 hour in-depth introduction to the main deep learning models used in text processing. It combines theoretical and practical hands-on classes. Attendants will be able to understand and implement the models in Tensorflow.
Addressed to professionals, researchers and students who want to understand and apply deep learning techniques to text. The practical part requires basic programming experience, a university-level course in computer science and experience in Python. Basic math skills (algebra or pre-calculus) are also needed.
Contents - Introduction to machine learning and NLP with Tensorflow - Multilayer Perceptron - Embeddings and Recurrent Neural Networks - Seq2seq, Neural Machine Translation and better RNNs - Attention, Neural machine Translation and Natural Language Inference - Convolutional neural networks and Deep learning frameworks
Instructors . Eneko Agirre, Full professor, member of IXA . Oier Lopez de la Calle, Postdoc researcher at IXA . Olatz Perez de Vinaspre, Postdoc researcher at IXA
Part of the Language Analysis and Processing master program 12 theoretical and practical sessions, 30 hours Scheduled between 22/1/2019 and 7/2/2019, details here Where: Lab 0.1, Computer science faculty, San Sebastian Teaching language: English Capacity: 20 attendants (selected according to CV) 4.5 ECTS credits Cost: 180 euros
Please register via email (amaia.lorenzo at ehu.eus) attaching a brief CV. Use the same address for any enquiry you might have. Pre-registration open: now to 14th of December
Prerequisite Basic programming experience, a university-level course in computer science and experience in Python. Basic math skills are also needed.