Mastering TensorFlow 2: The Complete Guide to Building Machine Learning and Deep Learning Projects
Format:
Paperback
En stock
0.36 kg
Sí
Nuevo
Amazon
USA
- Mastering TensorFlow 2: The Complete Guide to Building Machine Learning and Deep Learning Projects by Bryan R. RossUnlock the Power of AI From Your First Model to Real-World Solutions! Ready to turn data into discovery? This hands-on guide takes you from the basics of machine learning to advanced deep learning projects with TensorFlow 2, helping you master the practical skills needed to build, train, and deploy robust models.TensorFlow 2 is the framework behind today’s smartest technologies, and this book demystifies it with a project-driven, step-by-step approach. Start with intuitive explanations of tensors, data pipelines, and model building, then progress to real-world applications: image classification, natural language processing, time series forecasting, and more. Whether you’re a beginner or looking to deepen your skills, you’ll learn by doing through accessible code examples, expert insights, and proven best practices. This book doesn’t just teach you the “how” it also explores the “why” behind every key concept, helping you build true confidence as a machine learning practitioner.Going beyond the basics, you’ll find chapters on custom layers, transfer learning, distributed training, and deploying your models to cloud, mobile, or edge devices. Each topic is delivered with clarity, actionable tips, and field notes from real-world experience ensuring you avoid common pitfalls and accelerate your learning curve.Why Choose This Book?Comprehensive, up-to-date coverage of TensorFlow 2 and Keras workflowsReal, working code for image, text, and time series projectsGuidance on best practices, debugging, and performance optimizationStep-by-step deployment to production, mobile, and edge platformsExpert commentary and personal insights for practical successReady to Build the Future with AI? Grab your copy of Mastering TensorFlow 2 and transform your machine learning journey one project at a time. Don’t just follow the trend lead the way.
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