This project was part of the course Theoretical deep learning (L’apprentissage par réseaux de neurones profonds, taught in French) by Stéphane Mallat at Collège de France.
This course was composed of theoretical lectures and a machine learning challenge.
I worked on an intent prediction problem for drug-related question, proposed by the healthcare startup Posos. The goal was to classify real user questions into one of 52 classes representing the type of drug-related information they are looking for.
The final solution used word embeddings and a convolutional neural network to classify the sentences.