Devol
Visit ToolDEvol is an open-source AI tool for genetic neural architecture search using Keras. It provides a proof of concept for deep neural network evolution, particularly for classification problems.
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DEvol is an open-source AI tool for genetic neural architecture search using Keras. It provides a proof of concept for deep neural network evolution, particularly for classification problems.
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About
DEvol (DeepEvolution) is an open-source project designed as a proof of concept for genetic neural architecture search within the Keras framework. It allows for the evolution of neural network structures, including convolutional and dense layers, by varying parameters such as feature maps, activation functions, dropout rates, batch normalization, and max pooling. While currently tailored for classification problems, its architecture can be extended to other output types. The tool demonstrates how genetic algorithms can optimize neural network design, achieving competitive accuracy on datasets like MNIST. It emphasizes the potential for parallel training, early stopping, and parameter selection to manage the computational complexity inherent in evolving numerous models.
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