Generative deep learning specialization par academy tech (3 résultats)

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Paperback. Etat : new. Paperback. Master Generative AI and Deep Learning - From Neural Network Fundamentals to Real-World AI ApplicationsGenerative AI is transforming every industry - and this comprehensive specialization guide gives you the technical foundation, practical skills, and real-world project experience needed to work professionally with AI systems in 2026. Whether you're a developer, data scientist, or career-changer looking to enter the AI field, this book takes you from neural network fundamentals through building, training, and deploying cutting-edge generative models - with five hands-on projects along the way.What You'll Learn: - How neural networks and deep learning actually work - inside the architecture- The transformer revolution: self-attention, multi-head attention, and scaling laws - Large Language Models: training pipelines, instruction tuning, RLHF, and evaluation - Image generation: GANs, VAEs, diffusion models, and Stable Diffusion - Multi-modal AI: text-to-image, text-to-video, audio generation, and vision-language models - Training and scaling strategies: distributed computing, cost optimization, parallelism - Evaluation and safety: benchmarks, bias detection, watermarking, responsible deployment - Production deployment: API serving, quantization, monitoring, and security - Five complete hands-on projects with code, architecture, and deployment guidesWho This Book Is For: - Developers transitioning into AI/ML roles - Data scientists expanding into generative AI - Students preparing for AI certification exams - Engineers building AI-powered products - Anyone who wants to deeply understand how generative AI works under the hood This isn't a surface-level overview. You'll understand attention mechanisms, training dynamics, scaling laws, and production deployment - the knowledge that separates AI practitioners from AI prompters.Includes: - 100 practice exam questions with detailed explanations- Five hands-on projects with complete implementation guides- Comparison tables for major LLMs, frameworks, and datasets- Troubleshooting guides for training and deployment issues Updated for 2026 with coverage of GPT-5, Claude, Gemini 2.0, open-source models, and the latest diffusion architectures. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…