This repository contains the practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

See www.khipu.ai for more details.

The notebooks in the root directory are meant to be used for the practical sessions. There will be two sessions per day, and the days are enumerated in the notebook's name.

Additionally, the background directory has some notebooks that can be used by attendees to prepare for the meeting.

Each notebook can be opened in Google Colab through the button on the top of each file. They are all meant to be used with Colab's free resources.

For convenience, here is a list of all main notebooks linked directly to colab:

• Convolutional Networks
• Optimisation for Deep Learning
• Recurrent Networks
• The Transformer for Natural Language Processing (and extras)
• Reinforcement Learning
• Generative Models

Khipu practicals are based on the practicals of the Deep Learning Indaba