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Artículo: AMZ-B0G4RFS6XZ
Hands-on PyTorch: Learn Core Concepts, Build Real Models, and Optimize Performance (Mastering Deep Learning & Machine learning)
Format:
Kindle
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0.84 kg
0.84 kg
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Nuevo
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Producto de
Amazon
Amazon
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USA
USA
Sobre este producto
- Have you ever looked at a deep learning model and wondered, “How does this actually work behind the scenes?” Do you find yourself moving from tutorial to tutorial without truly understanding why the code behaves the way it does? Does autograd, backpropagation, or gradient descent still feel unclear?If yes, then this book was created for you.Hands-On PyTorch is not another code-dump guide. It’s a conversation-driven, concept-first approach that helps you understand deep learning from the inside out. Every chapter walks you through the reasoning, intuition, and engineering decisions behind PyTorch—like having a mentor by your side explaining every step.What if you could move from basic tensors to building complete, trainable, optimized models without confusion? What if you could debug and improve your models with confidence instead of guessing? What if you could finally understand the “why” behind every line of code?Inside this book, you will:Master essential PyTorch fundamentals including tensors, autograd, computational graphs, modules, and training workflows.Build meaningful, real-world models such as binary classifiers, CNNs, transformers, and more—step by step, without skipping logic.Optimize performance using tools like torch.compile, mixed precision, model profiling, and memory-efficient training strategies.Learn hands-on, practical workflows that cover data pipelines, reproducibility, debugging, versioning, and deployment.Explore advanced topics like meta-learning, diffusion models, and compiler-aware optimization to understand modern deep learning trends.This book avoids overwhelming math and unnecessary complexity. Instead, it focuses on clarity, intuition, and practical mastery. By the end, you won’t just follow tutorials—you’ll understand PyTorch at a deep level, enabling you to build, optimize, and deploy your own models with confidence.So the real question is: Are you ready to stop copying code and start truly mastering PyTorch? Are you ready to take your ideas, turn them into working models, and optimize them like a professional?If so, open this book and begin your journey. And when you’re done, leave a review—your insights will help future learners take their first steps too.
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