New GRU from convolutional neural network and gated recurrent unit

What is it about?

This paper will emphasis the use of these both systems by giving exemples and showing the efficieny of each method . Then it will shows the accuray of the new method proposed by tackling many points which concern the data preparation, the architecture of each method applied , and also the network parametres and training. This paper aims at showing the importance and the accuracy of the new method applied which is « the new GRU from convolutional neural network and gated reccurent unit ».

Featured Image

Photo by Stefano Intintoli on Unsplash

Photo by Stefano Intintoli on Unsplash

Why is it important?

The CNN system offers very best performance results in SemEval-2015 because he classification and demonstrates the amount of data the most important at adjustments at the level of hyper parameters and pre-treatment before starting training. The GRU system is the newest type of Deep Learning, despite these results are not at the hiring point because the results were weak and the hyper parameter was insufficient, Even if we used the Adam method for optimizing weights. Our model requires in a part a manual treatment, for this reason we have not yet results.