tensorflow ai (277 Ergebnisse)

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Paperback. Zustand: new. Paperback. Unlock the power of artificial intelligence with "Mastering TensorFlow for AI Development: Build AI Solutions with Neural Networks and Deep Learning" by Greyson Chesterfield. This comprehensive guide is your gateway to developing cutting-edge AI applications, equipping you with the tools and techniques to create intelligent systems that solve real-world problems.With clear explanations, hands-on examples, and expert guidance, this book covers: Mastering TensorFlow: Gain a deep understanding of TensorFlow's framework and tools to build and train AI models efficiently.Designing Neural Networks: Learn to create advanced architectures like CNNs, RNNs, and GANs for diverse applications.Deep Learning Fundamentals: Understand backpropagation, optimization, and activation functions to build robust models.Implementing AI Solutions: Explore real-world case studies in computer vision, natural language processing, and reinforcement learning.Deploying AI Applications: Learn how to deploy and optimize AI solutions for production environments.Whether you're a beginner or an experienced developer, this book offers a clear roadmap to mastering TensorFlow and leveraging the power of deep learning. Greyson Chesterfield provides the knowledge and skills you need to excel in the rapidly evolving field of AI.Step into the future of technology. Order your copy today and start building innovative AI solutions with TensorFlow! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. Building Your First AI Model with TensorFlow"Create Powerful AI Models with Google's TensorFlow Framework"Embark on your AI journey with Building Your First AI Model with TensorFlow, the ultimate beginner-friendly guide to creating intelligent systems. Whether you're an aspiring data scientist, a developer curious about machine learning, or a tech enthusiast eager to explore AI, this book offers a clear and engaging path to mastering the basics of TensorFlow.Harness the power of Google's industry-leading framework to build, train, and deploy AI models that solve real-world problems. From understanding foundational concepts to applying them in practical projects, this comprehensive guide empowers you to dive confidently into the world of artificial intelligence.What's Inside?Introduction to AI and TensorFlow: Learn what makes TensorFlow the go-to framework for machine learning and how AI is transforming industries.Setting Up for Success: Step-by-step instructions to install TensorFlow and create your first development environment.Core Machine Learning Concepts: Understand datasets, features, labels, and the basics of supervised learning and neural networks.Building Your First Model: Walk through creating a simple neural network for tasks like image recognition or data prediction.Training and Fine-Tuning Models: Learn how to optimize your models using TensorFlow's tools for improving accuracy and performance.Data Visualization and Analysis: Use TensorBoard and Matplotlib to visualize training progress and evaluate model effectiveness.Real-World Applications: Build practical AI models for tasks such as text classification, image detection, or time-series forecasting.Model Deployment: Explore options for deploying your AI models, including TensorFlow Lite for mobile and edge devices.Best Practices: Discover tips for debugging, performance tuning, and ensuring ethical AI usage.Why Choose This Book?Beginner-Friendly: Designed for readers with no prior experience in AI or machine learning.Hands-On Projects: Includes practical examples and projects to build your confidence and skills.Step-by-Step Guidance: Breaks down complex concepts into manageable, actionable steps.Cutting-Edge Content: Reflects the latest updates in TensorFlow and modern AI practices for 2025.Expert Advice: Authored by AI professionals passionate about making machine learning accessible to everyone.By the end of this book, you'll have created your own fully functional AI model and gained the knowledge to tackle more advanced projects. Whether you're looking to enhance your career, contribute to innovative AI applications, or simply learn a new skill, Building Your First AI Model with TensorFlow is the perfect starting point. Start building smarter solutions today! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

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paperback. Zustand: Good.

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Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Paperback. Zustand: new. Paperback. Generative AI with Python and TensorFlow: A Complete Guide to Mastering AI Models is a comprehensive resource for anyone looking to delve into the world of generative artificial intelligence. IntroductionOverview of Generative AI: Understand the basic concepts, history, and significance of generative AI.Importance of Generative AI: Learn about the transformative potential of generative AI in various industries.Applications and Use Cases: Explore real-world applications of generative AI in fields such as art, music, text generation, and data augmentation.Overview of Python and TensorFlow: Get an introduction to the essential tools and libraries used for building generative AI models.Getting Started: Set up your development environment, install necessary libraries, and take your first steps with TensorFlow.Fundamentals of Machine LearningSupervised vs. Unsupervised Learning: Understand the differences and use cases of these two primary types of machine learning.Neural Networks Basics: Learn the fundamental concepts of neural networks and their role in AI.Introduction to Deep Learning: Dive deeper into the advanced techniques of deep learning and its applications in generative AI.Key Concepts in Generative AI: Familiarize yourself with the essential concepts and terminologies in generative AI.Generative ModelsUnderstanding Generative Models: Explore the theoretical foundations of generative models.Types of Generative Models: Learn about various types of generative models, including VAEs, GANs, autoregressive models, and flow-based models.Variational Autoencoders (VAEs): Delve into the theory behind VAEs, build and train VAEs with TensorFlow, and explore their use cases.Generative Adversarial Networks (GANs): Get introduced to GANs, understand their architecture, implement GANs with TensorFlow, and learn advanced GAN techniques.Autoregressive Models: Understand autoregressive models, implement them with TensorFlow, and explore their applications.Flow-based Models: Learn about flow-based models, build them with TensorFlow, and explore their practical applications.Advanced TopicsTransfer Learning for Generative Models: Explore how transfer learning can be applied to generative models.Conditional Generative Models: Understand and implement models that generate outputs conditioned on specific inputs.Multimodal Generative Models: Learn about models that can generate multiple types of data simultaneously.Reinforcement Learning in Generative AI: Explore the intersection of reinforcement learning and generative AI.Practical ApplicationsImage Generation and Style Transfer: Create stunning images and apply style transfer techniques.Text Generation and Natural Language Processing: Generate coherent and contextually relevant text using advanced NLP techniques.Music and Sound Generation: Compose music and generate new sounds using generative AI.Data Augmentation for Machine Learning: Improve your machine learning models by augmenting your datasets with generative models.Hands-On ProjectsProject 1: Creating Art with GANs: Step-by-step guide to building a GAN to generate art.Project 2: Text Generation with LSTM: Implement an LSTM model for generating text.Project 3: Building a VAE for Image Reconstruction: Learn how to build and train a VAE for image reconstruction.Project 4: Mus Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Zustand: Very Good. Slight shelfwear with a bit of creasing to top front cover edge, some highlighting to about the first third of the pages, otherwise a very nice copy with tight binding.

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