Mô tả

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!

Bạn sẽ học được gì

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.

Yêu cầu

  • Basic understanding of any programming language (Python preferred).
  • It's beneficial if learners have foundational knowledge of machine learning principles.

Nội dung khoá học

7 sections

Getting started

3 lectures
Introduction
02:19
All resources
00:31
Questions and concerns
00:13

Prepare exam environment

6 lectures
Notes
00:21
Install Python
02:53
Tip for Mac user
00:10
Install Pycharm
00:39
Download practice tests
00:05
Python packages & exam plugin
05:45

Regression Problems

5 lectures
Linear regression 1-question
02:37
Tip for Windows users
00:09
Linear regression 1-answer
05:43
Challenge: Linear regression 2-question
00:01
Challenge: Linear regression 2-answer
00:01

Image Classification

10 lectures
Grayscale image: keras datasets-question
02:23
Grayscale image: keras datasets-answer
04:31
Challenge: Grayscale image: TF datasets-question
00:01
Challenge: Grayscale image: TF datasets-answer
00:01
Color image: Binary classification question
08:00
Color image: Binary solution
07:10
(Optional) Color image: binary classification-question
00:01
(Optional) Color image: binary classification-answer
00:01
(Challenge) Color image: Multiclass-question
00:01
(Challenge) Color image: Multiclass-answer
00:01

Natural Language Processing

6 lectures
Binary text classification-question
06:21
Binary text classification-answer
05:04
Challenge: Binary text classification (proportional training size)-question
00:01
Challenge: Binary text classification (proportional training size)-answer
00:01
(Optional) Multiclass text classification-question
00:01
(Optional) Multiclass text classification-answer
00:01

Sequences, Time Series, and Prediction

4 lectures
Cities humidity forecast question - time series
08:36
Cities humidity forecast solution - time series
07:31
Challenge: My city's humidity forecast question - sequences
00:01
Challenge: My city's humidity forecast-answer - sequences
00:01

Exam procedure

3 lectures
Step by step
00:45
Share your achievement with the world
01:29
Summary of Useful Tips
01:36

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