EvoDeep: a new Evolutionary approach for automatic Deep Neural Networks parametrisation

We have presented EvoDeep, a tool for evolving Deep Neural Networks parameters and architecture. The approach pursues to maximise its classification accuracy while achieving valid sequence of layers by employing a state machine. This model is tested against a widely used dataset of handwritten digits images. The experiments performed using this dataset…

Continue reading