Evolutionary NAS with Gene Expression Programming of Cellular Encoding

The renaissance of neural architecture search (NAS) has seen classical methods such as genetic algorithms (GA) and genetic programming (GP) being exploited for convolutional neural network (CNN) architectures. While recent work have achieved promising performance on visual perception tasks, the direct encoding scheme of both GA and GP has functional complexity deficiency and does not scale well on large architectures like CNN... (read more)

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Methods used in the Paper

Heuristic Search Algorithms
Sigmoid Activation
Activation Functions
Output Functions
Tanh Activation
Activation Functions
Recurrent Neural Networks