Lyt når som helst, hvor som helst

Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis

  • Lyt og læs så meget du har lyst til
  • Opdag et kæmpe bibliotek fyldt med fortællinger
  • Eksklusive titler + Mofibo Originals
  • Opsig når som helst
Start tilbuddet
DK - Details page - Device banner - 894x1036

Mastering TensorFlow: From Basics to Expert Proficiency

Sprog
Engelsk
Format
Kategori

Fakta

"Mastering TensorFlow: From Basics to Expert Proficiency" is an authoritative guide designed to provide readers with a comprehensive understanding of TensorFlow, the leading open-source machine learning framework by Google. This book meticulously covers all critical aspects of TensorFlow, from its foundational architecture and core concepts to advanced model training and deployment techniques. Each chapter is structured to build upon the previous ones, ensuring a smooth and logical progression. Readers will become proficient in preprocessing data, constructing sophisticated neural networks, including Convolutional and Recurrent Neural Networks, and fine-tuning their models for optimal performance.

The book delves into specialized topics such as natural language processing, custom model creation, and distributed training strategies, providing practical examples and hands-on exercises throughout. It also addresses real-world deployment scenarios, including mobile and web applications, ensuring that readers are well-equipped to bring their TensorFlow models into production environments securely and efficiently. Whether you are a beginner or an experienced machine learning practitioner, "Mastering TensorFlow" offers valuable insights and practical knowledge to help you harness the full potential of TensorFlow in your projects.

© 2024 HiTeX Press (E-bog): 6610000623273

Release date

E-bog: 11. august 2024

Tags

    Andre kan også lide...

    1. Ultimate Robotics Programming with ROS 2 and Python Jonathan Cacace
    2. Modern Web Development with Angular Duncan Faulkner
    3. Algorithms: 3 books in 1 : Practical Guide To Learn Algorithms for Beginners + Design Algorithms to Solve Common Problems + Advanced Data Structures for Algorithms Andy Vickler
    4. Azure OpenAI Service for Cloud Native Applications: Designing, Planning, and Implementing Generative AI Solutions Adrian Gonzalez Sanchez
    5. AI for beginners: Begin your AI developer journey in 2024 Et Tu Code
    6. Grokking Algorithms: A Complete Beginner’s Guide for the Effective Learning of Algorithms Dylan Christian
    7. Kickstart Software Design Architecture Dr. Edward D Lavieri Jr.
    8. Building Your Own Large Language Model: A comprehensive guide to creating Large Language Models (LLMs) Et Tu Code
    9. AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Jenny Plunkett
    10. Production Kubernetes: Building Successful Application Platforms John Harris
    11. AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition Laurence Moroney
    12. Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python Sofien Kaabar
    13. Machine Learning, Deep Learning & Generative AI: Understanding the Complete Modern AI in 2024: ML, DL & Gen AI Et Tu Code
    14. Machine Learning: Deep Learning, Text Analytics, and Reinforcement Learning with Big Data David Feldspar
    15. AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence Laurence Moroney
    16. Quantum Computing: The Transformative Technology of the Qubit Revolution Brian Clegg
    17. Blockchain: The Insights You Need from Harvard Business Review Don Tapscott
    18. Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith Sam Newman
    19. Data Mesh: Delivering Data-Driven Value at Scale Zhamak Dehghani
    20. Code Dependent: How AI Is Changing Our Lives — Shortlisted for the Women's Prize for Non-Fiction Madhumita Murgia
    21. Building Microservices: Designing Fine-Grained Systems Sam Newman
    22. The Clean Coder: A Code of Conduct for Professional Programmers Robert C. Martin
    23. Uberland: How Algorithms Are Rewriting the Rules of Work Alex Rosenblat
    24. Advances in Financial Machine Learning Marcos Lopez de Prado
    25. Software Engineering at Google: Lessons Learned from Programming Over Time Tom Manshreck
    26. Fundamentals of Software Architecture: An Engineering Approach Neal Ford
    27. Programming Interviews For Dummies Eric Butow
    28. Computational Thinking Peter J. Denning
    29. Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas
    30. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World Karim R. Lakhani
    31. Data Science John D. Kelleher
    32. How Smart Machines Think Sean Gerrish
    33. Alibaba: The House that Jack Ma Built Duncan Clark
    34. Mastering ChatGPT and Google Colab for Machine Learning Rosario Moscato
    35. Docker Unveiled: The Comprehensive Handbook to Streamlined Development William Drake
    36. A Guide to Data Science and Analytics: Navigating the Data Deluge: Tools, Techniques, and Applications Juniper Blake
    37. Smart Business: What Alibaba's Success Reveals about the Future of Strategy Ming Zeng
    38. Kubernetes Unlocked: Building and Managing Modern Cloud-Native Applications Marcus Brooks
    39. Artificial General Intelligence: (The MIT Press Essential Knowledge series) Julian Togelius
    40. Natural Language Processing for Beginners: A Comprehensive Beginner's Guide to Understanding and Applying Natural Language Processing Techniques James Ferry
    41. Generative Artificial Intelligence: What Everyone Needs to Know ® Jerry Kaplan
    42. Site Reliability Engineering: How Google Runs Production Systems Chris Jones
    43. The Kaggle Book: Data analysis and machine learning for competitive data science Luca Massaron
    44. Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services, 1st Edition Rui Costa
    45. Solutions Architect's Handbook: Kick-start your career as a solutions architect by learning architecture design principles and strategies Saurabh Shrivastava
    46. Security Chaos Engineering: Sustaining Resilience in Software and Systems Aaron Rinehart
    47. Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures Neal Ford

    Vælg dit abonnement

    • Over 600.000 titler

    • Download og nyd titler offline

    • Eksklusive titler + Mofibo Originals

    • Børnevenligt miljø (Kids Mode)

    • Det er nemt at opsige når som helst

    Flex

    For dig som vil prøve Mofibo.

    89 kr. /måned
    • 1 konto

    • 20 timer/måned

    • Gem op til 100 ubrugte timer

    • Eksklusivt indhold hver uge

    • Fri lytning til podcasts

    • Ingen binding

    Prøv gratis
    Den mest populære

    Premium

    For dig som lytter og læser ofte.

    129 kr. /måned
    • 1 konto

    • 100 timer/måned

    • Eksklusivt indhold hver uge

    • Fri lytning til podcasts

    • Ingen binding

    Start tilbuddet

    Unlimited

    For dig som lytter og læser ubegrænset.

    149 kr. /måned
    • 1 konto

    • Ubegrænset adgang

    • Eksklusivt indhold hver uge

    • Fri lytning til podcasts

    • Ingen binding

    Start tilbuddet

    Family

    For dig som ønsker at dele historier med familien.

    Fra 179 kr. /måned
    • 2-6 konti

    • 100 timer/måned pr. konto

    • Fri lytning til podcasts

    • Kun 39 kr. pr. ekstra konto

    • Ingen binding

    2 konti

    179 kr. /måned
    Prøv gratis