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    TensorFlow Developer Certificate Guide: Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam

    Posted By: yoyoloit
    TensorFlow Developer Certificate Guide: Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam

    TensorFlow Developer Certificate Guide
    by Oluwole Fagbohun

    English | 2023 | ISBN: 180324013X | 350 pages | True/Retail PDF EPUB | 26.68 MB




    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 Description

    The 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 for

    This 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.
    Table of Contents

    Introduction to Machine Learning
    Introduction to Tensorflow
    Linear Regression with Tensorflow
    Classification with Tensorflow
    Image Classification with Neural Networks
    Improving the model
    Image Classification with Convolution Neural Networks
    Handling Overfitting
    Transfer Learning
    Introduction to Natural Language Processing
    Natural Language Processing with Tensorflow
    Introduction to Time Series, Sequence and Prediction
    Time Series, Sequence and Prediction with Tensorflow



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