Advances in Deep Learning Models,
Applications and Future Directions

Advances in Deep Learning: Models, Applications, and Future Directions explores recent innovations in neural network architectures, including CNNs, RNNs, and transformers. It highlights applications across healthcare, finance, and automation, and discusses future trends such as explainable AI, efficient models, and ethical, responsible deployment.