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    Tensorflow Developer Certificate Exam Practice Tests 2024

    Posted By: ELK1nG
    Tensorflow Developer Certificate Exam Practice Tests 2024

    Tensorflow Developer Certificate Exam Practice Tests 2024
    Published 12/2023
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 558.07 MB | Duration: 1h 15m

    Fast-Track to TensorFlow Certification: Practical Tests and Expert Tips for Success

    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.

    Requirements

    Basic understanding of any programming language (Python preferred).

    It's beneficial if learners have foundational knowledge of machine learning principles.

    Description

    Welcome to "TensorFlow Developer Certificate Exam Practice Tests 2024 made easy," your efficient path to mastering TensorFlow and preparing for certification. This course will equip you with the knowledge and practical skills needed for the TensorFlow Developer Certificate Exam in a convenient format.What Makes This Course 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 Course?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!

    Overview

    Section 1: Getting started

    Lecture 1 Introduction

    Lecture 2 All resources

    Lecture 3 Questions and concerns

    Section 2: Prepare exam environment

    Lecture 4 Notes

    Lecture 5 Install Python

    Lecture 6 Tip for Mac user

    Lecture 7 Install Pycharm

    Lecture 8 Download practice tests

    Lecture 9 Python packages & exam plugin

    Section 3: Regression Problems

    Lecture 10 Linear regression 1-question

    Lecture 11 Tip for Windows users

    Lecture 12 Linear regression 1-answer

    Lecture 13 Challenge: Linear regression 2-question

    Lecture 14 Challenge: Linear regression 2-answer

    Section 4: Image Classification

    Lecture 15 Grayscale image: keras datasets-question

    Lecture 16 Grayscale image: keras datasets-answer

    Lecture 17 Challenge: Grayscale image: TF datasets-question

    Lecture 18 Challenge: Grayscale image: TF datasets-answer

    Lecture 19 Color image: Binary classification question

    Lecture 20 Color image: Binary solution

    Lecture 21 (Optional) Color image: binary classification-question

    Lecture 22 (Optional) Color image: binary classification-answer

    Lecture 23 (Challenge) Color image: Multiclass-question

    Lecture 24 (Challenge) Color image: Multiclass-answer

    Section 5: Natural Language Processing

    Lecture 25 Binary text classification-question

    Lecture 26 Binary text classification-answer

    Lecture 27 Challenge: Binary text classification (proportional training size)-question

    Lecture 28 Challenge: Binary text classification (proportional training size)-answer

    Lecture 29 (Optional) Multiclass text classification-question

    Lecture 30 (Optional) Multiclass text classification-answer

    Section 6: Sequences, Time Series, and Prediction

    Lecture 31 Cities humidity forecast question - time series

    Lecture 32 Cities humidity forecast solution - time series

    Lecture 33 Challenge: My city's humidity forecast question - sequences

    Lecture 34 Challenge: My city's humidity forecast-answer - sequences

    Section 7: Exam procedure

    Lecture 35 Step by step

    Lecture 36 Share your achievement with the world

    Lecture 37 Summary of Useful Tips

    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.