Seq2Seq Models for Short Answer Generation.

Recurrent Recurrent Networks (RNN) are a particular kind of artificial neural networks that are specialized in extracting information from sequences. Unlike simple feedforward neural networks, a neuron's activation is also dependent from its previous activations. This allows the model to capture correlations between the different inputs in the sequence.

Posted by louishenrifranc on April 22, 2017

Predicting House Sales using statistical learning technique and deep learning.

The goal of this project will be to predict the price of a house according to characteristics, such as surface area, the number of floors, number of rooms.

Posted by louishenrifranc. on March 22, 2017