Recent Advances Of Computational And Mathematical Applications In Deep Learning

This Special Issue focuses on recent theoretical advances and practical applications in deep learning, with a particular emphasis on neural network model architectures, explainability and interpretability, mathematical bias and fairness, and ethical and societal considerations. Topics include image recognition, speech and emotion recognition, generative models, reinforcement learning, natural language processing, and more.