Deep neural networks (DNNs) have achieved remarkable performance across a wide range of applications, while they are vulnerable to adversarial examples, which motivates the evaluation and benchmark model robustness. However, current evaluations usually use simple metrics study defenses, far from understanding limitation weaknesses these defense methods. Thus, most proposed defenses quickly show...

The literature review of the article presents characteristics protein value plant feed materials, in particular, soybean and sunflower processing products, depending on production technology. Their amino acid composition ideally meets needs young animals poultry due to high content essential acids.
 section «Materials methods» methods for determining: crude by Kjeldahl method, soluble 0.2%...

One of the challenges in deep learning involves discovering optimal architecture for a specific task. This is effectively tackled through Neural Architecture Search (NAS). encompasses three prominent approaches—reinforcement learning, evolutionary algorithms, and gradient descent—that have demonstrated noteworthy potential identifying good candidate architectures. However, approaches based on r...