DeepEvolution uses population-based metaheuristics to evolve image transformations guided by neuron coverage, increasing coverage and detecting more DNN defects than TensorFuzz in small experiments.
Quantized neural networks: Training neural networks with low pre- cision weights and activations,
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DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks
DeepEvolution uses population-based metaheuristics to evolve image transformations guided by neuron coverage, increasing coverage and detecting more DNN defects than TensorFuzz in small experiments.