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OverviewThis comprehensive guide explores cutting-edge deep learning models and their real-world applications. Covering convolutional, recurrent, and attention-based networks, it dives deep into the architectures that power modern AI. From CNNs and RNNs to transformers, LLMs, and GNNs, the book offers both theoretical insights and practical case studies. It also addresses efficiency, scalability, and ethical considerations in deep learning. What's Inside? ✔ CNNs for detection, segmentation, and video ✔ RNNs, LSTMs, GRUs, and sequence modeling ✔ Transformers, attention, and vision transformers ✔ LLM training, fine-tuning, and evaluation ✔ GNNs for classification, link prediction, and recommendation ✔ GANs, autoencoders, and generative models ✔ Deployment, pruning, quantization, and robustness Why This Book? Because mastering modern deep learning architectures is essential for anyone building advanced AI systems today. Full Product DetailsAuthor: Axionics LtdPublisher: Independently Published Imprint: Independently Published Volume: 3 Dimensions: Width: 15.20cm , Height: 0.80cm , Length: 22.90cm Weight: 0.213kg ISBN: 9798291198346Pages: 152 Publication Date: 05 July 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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