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Tensorflow Developer Certificate

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Tensorflow Developer Certificate Exam Practice Tests 2024 Made Easy

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Author : MR Troy
language : en
Publisher: MR Troy
Release Date : 2024-02-03

Tensorflow Developer Certificate Exam Practice Tests 2024 Made Easy written by MR Troy and has been published by MR Troy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-03 with Computers categories.

What you'll learn Participants will be thoroughly prepared for the exam with tailored practice tests that closely mimic the format and content of the actual certification exam. Upon passing the exam, students will be able to add a digital badge to their LinkedIn profiles and join the TensorFlow Certificate Network. Learners will warm up hands-on experience in TensorFlow by completing practice tests and exercises in real-world scenarios. Students will regain a deep understanding of TensorFlow fundamentals, including Linear Regression, Image Classification, NLP, and Time Series predictions. Description Welcome to "TensorFlow Developer Certificate Exam Practice Tests 2024 made easy," your efficient path to mastering TensorFlow and preparing for certification. This book will equip you with the knowledge and practical skills needed for the TensorFlow Developer Certificate Exam in a convenient format. What Makes This Book Effective? Streamlined Learning: Ideal for those with busy schedules, our focused content is structured to make the most of your time (in less than 2 hours). Hands-On Practice: Dive into practice tests across key TensorFlow areas like Linear Regression, Image Classification, NLP, and Time Series, crafted to enhance your understanding and proficiency. Insider Knowledge: Gain insights with expert tips that will help you confidently approach the exam. Flexible Learning Environment: Choose your preferred learning tool-Google Colab, Jupyter Notebooks, or PyCharm-to work through the content. Why Choose This Book? Prepare with Confidence: Our carefully designed practice tests aim to give you a solid grounding in the exam's format and content areas. Join a Community: Consider joining the TensorFlow Certificate Network to connect with other professionals upon completion. Showcase Your Skills: Learn how to add a digital badge to your LinkedIn and GitHub profiles to highlight your TensorFlow capabilities. Enroll in "TensorFlow Developer Certificate Exam Practice Tests 2024 Made Easy" and start building your practical TensorFlow skills today! Who this book is for: Aspiring or current AI and machine learning professionals aiming to gain TensorFlow certification. Individuals with basic programming knowledge and/or a foundational understanding of machine learning concepts. Developers and students looking for a comprehensive yet concise preparation for the TensorFlow Developer Certificate Exam. Anyone interested in enhancing their TensorFlow skills and adding a recognized credential to their resume or online profiles. Requirements Basic understanding of any programming language (Python preferred). It's beneficial if learners have foundational knowledge of machine learning principles.

Tensorflow Developer Certificate Guide

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Author : Oluwole Fagbohun
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-09-29

Tensorflow Developer Certificate Guide written by Oluwole Fagbohun and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Computers categories.

Achieve TensorFlow certification with this comprehensive guide covering all exam topics using a hands-on, step-by-step approach—perfect for aspiring TensorFlow developers Key Features Build real-world computer vision, natural language, and time series applications Learn how to overcome issues such as overfitting with techniques such as data augmentation Master transfer learning—what it is and how to build applications with pre-trained models Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe TensorFlow Developer Certificate Guide is an indispensable resource for machine learning enthusiasts and data professionals seeking to master TensorFlow and validate their skills by earning the certification. This practical guide equips you with the skills and knowledge necessary to build robust deep learning models that effectively tackle real-world challenges across diverse industries. You’ll embark on a journey of skill acquisition through easy-to-follow, step-by-step explanations and practical examples, mastering the craft of building sophisticated models using TensorFlow 2.x and overcoming common hurdles such as overfitting and data augmentation. With this book, you’ll discover a wide range of practical applications, including computer vision, natural language processing, and time series prediction. To prepare you for the TensorFlow Developer Certificate exam, it offers comprehensive coverage of exam topics, including image classification, natural language processing (NLP), and time series analysis. With the TensorFlow certification, you’ll be primed to tackle a broad spectrum of business problems and advance your career in the exciting field of machine learning. Whether you are a novice or an experienced developer, this guide will propel you to achieve your aspirations and become a highly skilled TensorFlow professional. What you will learn Prepare for success in the TensorFlow Developer Certification exam Master regression and classification modelling with TensorFlow 2.x Build, train, evaluate, and fine-tune deep learning models Combat overfitting using techniques such as dropout and data augmentation Classify images, encompassing preprocessing and image data augmentation Apply TensorFlow for NLP tasks like text classification and generation Predict time series data, such as stock prices Explore real-world case studies and engage in hands-on exercises Who this book is forThis book is for machine learning and data science enthusiasts, as well as data professionals aiming to demonstrate their expertise in building deep learning applications with TensorFlow. Through a comprehensive hands-on approach, this book covers all the essential exam prerequisites to equip you with the skills needed to excel as a TensorFlow developer and advance your career in machine learning. A fundamental grasp of Python programming is the only prerequisite.

Tensorflow Developer Certification Guide

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Author : Patrick J
language : en
Publisher: GitforGits
Release Date : 2023-08-31

Tensorflow Developer Certification Guide written by Patrick J and has been published by GitforGits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Computers categories.

Designed with both beginners and professionals in mind, the book is meticulously structured to cover a broad spectrum of concepts, applications, and hands-on practices that form the core of the TensorFlow Developer Certificate exam. Starting with foundational concepts, the book guides you through the fundamental aspects of TensorFlow, Machine Learning algorithms, and Deep Learning models. The initial chapters focus on data preprocessing, exploratory analysis, and essential tools required for building robust models. The book then delves into Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and advanced neural network techniques such as GANs and Transformer Architecture. Emphasizing practical application, each chapter is peppered with detailed explanations, code snippets, and real-world examples, allowing you to apply the concepts in various domains such as text classification, sentiment analysis, object detection, and more. A distinctive feature of the book is its focus on various optimization and regularization techniques that enhance model performance. As the book progresses, it navigates through the complexities of deploying TensorFlow models into production. It includes exhaustive sections on TensorFlow Serving, Kubernetes Cluster, and edge computing with TensorFlow Lite. The book provides practical insights into monitoring, updating, and handling possible errors in production, ensuring a smooth transition from development to deployment. The final chapters are devoted to preparing you for the TensorFlow Developer Certificate exam. From strategies, tips, and coding challenges to a summary of the entire learning journey, these sections serve as a robust toolkit for exam readiness. With hints and solutions provided for challenges, you can assess your knowledge and fine-tune your problem solving skills. In essence, this book is more than a mere certification guide; it's a complete roadmap to mastering TensorFlow. It aligns perfectly with the objectives of the TensorFlow Developer Certificate exam, ensuring that you are not only well-versed in the theoretical aspects but are also skilled in practical applications. Key Learnings Comprehensive guide to TensorFlow, covering fundamentals to advanced topics, aiding seamless learning. Alignment with TensorFlow Developer Certificate exam, providing targeted preparation and confidence. In-depth exploration of neural networks, enhancing understanding of model architecture and function. Hands-on examples throughout, ensuring practical understanding and immediate applicability of concepts. Detailed insights into model optimization, including regularization, boosting model performance. Extensive focus on deployment, from TensorFlow Serving to Kubernetes, for real-world applications. Exploration of innovative technologies like BiLSTM, attention mechanisms, Transformers, fostering creativity. Step-by-step coding challenges, enhancing problem-solving skills, mirroring real-world scenarios. Coverage of potential errors in deployment, offering practical solutions, ensuring robust applications. Continual emphasis on practical, applicable knowledge, making it suitable for all levels Table of Contents Introduction to Machine Learning and TensorFlow 2.x Up and Running with Neural Networks Building Basic Machine Learning Models Image Recognition with CNN Object Detection Algorithms Text Recognition and Natural Language Processing Strategies to Prevent Overfitting & Underfitting Advanced Neural Networks for NLP Productionizing TensorFlow Models Preparing for TensorFlow Developer Certificate Exam

Tensorflow Developer Certificate

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Author : Oluwole Fagbohun
language : en
Publisher: Packt Publishing
Release Date : 2023-09-29

Tensorflow Developer Certificate written by Oluwole Fagbohun and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Machine learning categories.

TensorFlow finds applications in companies like Google, Twitter, Intel, and Airbnb for solving business problems.

Tensorflow Developer Certification Guide

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Author : Patrick J
language : en
Publisher: Gitforgits
Release Date : 2023-08-31

Tensorflow Developer Certification Guide written by Patrick J and has been published by Gitforgits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with categories.

Becoming An Ai Expert

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-05

Becoming An Ai Expert written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Computers categories.

In a world driven by cutting-edge technology, artificial intelligence (AI) stands at the forefront of innovation. "Becoming an AI Expert" is an illuminating guide that takes readers on a transformative journey, equipping them with the knowledge and skills needed to navigate the dynamic realm of AI and emerge as true experts in the field. About the Book: In this comprehensive handbook, readers will embark on a captivating exploration of AI from its foundational concepts to advanced applications. Authored by leading experts, "Becoming an AI Expert" offers a structured approach to mastering the intricacies of AI, making it an invaluable resource for both novices and aspiring professionals. Key Features: · AI Fundamentals: The book starts with a solid introduction to AI, demystifying complex concepts and terminology. Readers will gain a clear understanding of the building blocks that underpin AI technologies. · Hands-On Learning: Through practical examples, coding exercises, and real-world projects, readers will engage in hands-on learning that deepens their understanding of AI techniques and algorithms. · Problem-Solving Approach: "Becoming an AI Expert" encourages a problem-solving mindset, guiding readers through the process of identifying challenges that AI can address and devising effective solutions. · AI Subfields: From machine learning and deep learning to natural language processing and computer vision, the book provides an overview of key AI subfields, allowing readers to explore specialized areas of interest. · Ethical Considerations: As AI increasingly shapes society, ethical considerations become paramount. The book delves into the ethical implications of AI and equips readers with tools to develop responsible and socially conscious AI solutions. · Cutting-Edge Trends: Readers will stay ahead of the curve by exploring emerging trends such as AI in healthcare, autonomous vehicles, and AI ethics, ensuring they remain at the forefront of AI advancements. · Industry Insights: Featuring interviews and case studies from AI practitioners, "Becoming an AI Expert" offers a glimpse into real-world applications and insights, bridging the gap between theory and practice. Who Should Read This Book: "Becoming an AI Expert" is an essential read for students, professionals, and enthusiasts seeking to build a solid foundation in AI or advance their existing knowledge. Whether you're a computer science student, a software developer, an engineer, or a curious individual passionate about AI, this book serves as a comprehensive guide to becoming proficient in the AI landscape. About the Authors: The authors of "Becoming an AI Expert" are distinguished experts in the field of artificial intelligence. With years of research, industry experience, and academic contributions, they bring a wealth of knowledge to this guide. Their collective expertise ensures that readers receive accurate, up-to-date, and insightful information about AI.

Fluent Python

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Author : Luciano Ramalho
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-07-30

Fluent Python written by Luciano Ramalho and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-30 with Computers categories.

Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work

Ai And Machine Learning For Coders

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Author : Laurence Moroney
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-01

Ai And Machine Learning For Coders written by Laurence Moroney and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-01 with Computers categories.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving

Tensorflow

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Author : 陳鴻敏
language : zh-CN
Publisher: 博碩文化
Release Date : 2024-01-10

Tensorflow written by 陳鴻敏 and has been published by 博碩文化 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Computers categories.

TensorFlow認證考試最佳參考書附解說檔及練習題400題｜本書專為有志於認證考試或想深入了解人工智慧原理者而設計｜提供大量的習題及解說（超過400個），同時深入解說神經網路的運作原理，無論是初學者或進階者都適合閱讀。｜繪製獨門的示意圖｜利用Excel的工作表來展示各種演算法的運算過程，將抽象概念具體化。｜詳細解說損失函數、激發函數、優化器、標籤編碼、單熱編碼、正規化、標準化、學習率、正向傳播、反向傳播及梯度下降法等機器學習的基礎觀念，以厚植人工智慧的實力｜這些觀念是開發人工智慧軟體的關鍵，也是一般學子最難搞懂的部分，本書以問答集的形式呈現，共計41個主題，例如：為何要使用交叉熵函數來計算誤差？如何選擇激發函數？如何建構孿生神經網路？何謂梯度消失與梯度爆炸？如何使用自注意力機制？【目標讀者】 ✔各級學校的學生。 ✔有志於認識人工智慧及參加認證考試的各界人士。

Reinforcement Learning

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Author : Abhishek Nandy
language : en
Publisher: Apress
Release Date : 2017-12-07

Reinforcement Learning written by Abhishek Nandy and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-07 with Computers categories.

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov’s Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You’ll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There’s also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google’s Deep Mind and see scenarios where reinforcement learning can be used. What You'll Learn Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python Who This Book Is For Data scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning.

Tensorflow Developer Certificate

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