guide to optimizing and deploying AI models Udayakumar, Anisha. creator Vasudevan, Shriram K. Pulari, Sini Raj. text New Delhi Wiley 2025 1st ed. monographic eng

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xi,282p. ; PB 24.4 cm By Anisha Udayakumar, Shriram K Vasudevan and Pulari, Sini Raj. Advanced Deep Learning is a comprehensive guide for students, researchers, and professionals seeking to master the optimization and deployment of AI models. The book covers foundational concepts, advanced architectures (CNNs, RNNs, LSTMs, Transformers), practical applications (vision, NLP, GenAI), and real-world deployment challenges. It provides hands-on tutorials for model optimization (compression, quantization, pruning, knowledge distillation), hardware-aware deployment (CPUs, GPUs, NPUs, AI PCs), and industry best practices using frameworks like TensorFlow, PyTorch, and Intel OpenVINO™. Practical applications of deep learning Challenges in deploying deep learning models Deploying AI across devices 006.312 UDAA 9789370606975 260224 20260304150230.0