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SKU/Artículo: AMZ-B0FPR682XY
GPU for Deep Learning: Master Parallel Computing & CUDA to Build High-Performance AI Models
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.47 kg
0.47 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- The bottleneck isn't your model—it's your code.You've built your deep learning models, but the training process is agonizingly slow. You're ready to tackle larger, more complex datasets, but you're a victim of a single-threaded world. You need a practical, proven blueprint for unlocking your hardware's full potential, but you can't find a guide that isn't either a jargon-filled research paper or a disorganized collection of dated tutorials.This is the book you've been searching for.GPU for Deep Learning is the single source you need to build and deploy high-performance AI models. By focusing on practical application over abstract theory, this book gives you the tools to write fast, efficient code that directly solves real-world problems.The Complete Stack: Master everything from low-level CUDA kernels to high-level frameworks like PyTorch and TensorFlow.Ultimate Optimization: Learn expert techniques for memory coalescing, thread divergence, and mixed-precision training.Scale Your Ambitions: Implement multi-GPU and distributed training to tackle the largest and most complex models in the world.Career Blueprint: Get a comprehensive guide to building a portfolio, acing interviews, and securing a high-value role. Transform your workflow from slow and frustrating to fast and fluid. Take control of your performance. Buy now!
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U$S 28,78
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U$S 15,99
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