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https://github.com/labex-labs/quick-start-with-tensorflow
[Quick Start with TensorFlow] This repository collects 9 of programming scenarios (labs and challenges) for Quick Start with TensorFlow. In this course, you will learn the basic concepts and syntax of TensorFlow 2, and how to use TensorFlow 2 to implement deep learning algorithms.
https://github.com/labex-labs/quick-start-with-tensorflow
List: quick-start-with-tensorflow
awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn tensorflow
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[Quick Start with TensorFlow] This repository collects 9 of programming scenarios (labs and challenges) for Quick Start with TensorFlow. In this course, you will learn the basic concepts and syntax of TensorFlow 2, and how to use TensorFlow 2 to implement deep learning algorithms.
- Host: GitHub
- URL: https://github.com/labex-labs/quick-start-with-tensorflow
- Owner: labex-labs
- Created: 2024-05-22T09:03:19.000Z (8 months ago)
- Default Branch: master
- Last Pushed: 2024-08-01T01:28:03.000Z (6 months ago)
- Last Synced: 2024-08-02T04:23:09.043Z (6 months ago)
- Topics: awesome, awesome-list, challenges, course, education, hands-on, labex, labs, machine-learning, programming, scikit-learn, tensorflow
- Homepage: https://labex.io/skilltrees/ml
- Size: 4.88 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Quick Start with TensorFlow
[![Quick Start with TensorFlow](https://cover-creator.appbot.io/quick-start-with-tensorflow.png)](https://labex.io/courses/quick-start-with-tensorflow)
[![Start-Learning](https://img.shields.io/badge/Start-Learning-whitesmoke?style=for-the-badge)](https://labex.io/courses/quick-start-with-tensorflow)
In this course, you will learn the basic concepts and syntax of TensorFlow 2, and how to use TensorFlow 2 to implement deep learning algorithms.
![Machine-Learning](https://img.shields.io/badge/Machine-Learning-whitesmoke?style=for-the-badge&logo=machine-learning)
![TensorFlow](https://img.shields.io/badge/TensorFlow-whitesmoke?style=for-the-badge&logo=tensorflow)
![scikit-learn](https://img.shields.io/badge/scikit-learn-whitesmoke?style=for-the-badge&logo=scikit-learn)## Environment
LabEx is an interactive, hands-on learning platform dedicated to coding and technology. It combines labs, AI assistance, and virtual machines to provide a no-video, practical learning experience.
![](https://tutorial-screenshot.getvm.io/images/vm-1725247253.png)
- A strict βLearn by Doingβ approach with exclusive hands-on labs and no videos.
- Interactive online environments within the browser, with automated step-by-step checks.
- A structured content organization with the Skill Tree based learning system.
- A growing learning resource of 30 Skill Trees and over 6,000 Labs.
- The AI learning assistant Labby, built on ChatGPT, providing a conversational learning experience.Learn more about [LabEx VM](https://support.labex.io/using-labex/virtual-machine).
## Exercises
| Index | Name | Difficulty | Practice |
|---------|---------------------------------------------------------|--------------|------------------------------------------------------------------------------------------------------------------------------------------|
| 1 | π Concepts and Syntax of Tensorflow 2 | β ββ | Start Lab |
| 2 | π Implementation of Computing Derivative and Automat... | β ββ | Start Lab |
| 3 | π Linear Regression Implemented by Tensorflow 2 | β ββ | Start Lab |
| 4 | π Polynomial Regression Implemented by Low Level Api | β ββ | Start Lab |
| 5 | π Shallow Neural Network Implemented by Tensorflow 2 | β ββ | Start Lab |
| 6 | π Classification of Car Safety Evaluation Dataset | β ββ | Start Lab |
| 7 | π Deep Neural Network Implemented by Tensorflow 2 | β ββ | Start Lab |
| 8 | π Implementation of Classic Convolutional Neural Net... | β ββ | Start Lab |
| 9 | π Tensorflow 2 Model Saving and Restoring | β ββ | Start Lab |## More
- π [Machine Learning Programming Courses](https://github.com/labex-labs/awesome-programming-courses)
- π [Machine Learning Programming Projects](https://github.com/labex-labs/awesome-programming-projects)
- π [Machine Learning Free Tutorials](https://github.com/labex-labs/ml-free-tutorials)