Deep Learning Essentials: Models, Architectures, and Applications introduces the core neural network models and modern architectures that power AI systems, from CNNs and RNNs to Transformers. It also explores real-world applications across vision, language, healthcare, and automation, showing how these techniques solve complex data-driven problems.