2- Build a robust neural network right from the start
Using Saimple during the process of optimizing an architecture allows you to discover quicker a robust solution that matches your requirements.
When choosing architecture for your network, performance is the first concern to be addressed. Using classical metric, the engineers verify the robustness of the network and make an opinion on what architecture seems better suited. Improving on an existing architecture by optimizing its hyper-parameters is however a challenge. By doing it by hand or using stochastic techniques, the outcome can be costly while being both unpredictable and disappointing in terms of robustness.
Saimple is a tool capable of evaluating the robustness of a network at any stage it is in. Using it during your optimization process saves you time since you can take the robustness into account all along the way of any proposed solution.