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https://github.com/labex-labs/foundations-of-deep-learning
[Foundations of Deep Learning] This repository collects 7 of programming scenarios (labs and challenges) for Foundations of Deep Learning. In this course, you will learn the basic concepts of deep learning, including the basic principles of neural networks, the basic principles of TensorFlow, Ker...
https://github.com/labex-labs/foundations-of-deep-learning
List: foundations-of-deep-learning
awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn tensorflow
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[Foundations of Deep Learning] This repository collects 7 of programming scenarios (labs and challenges) for Foundations of Deep Learning. In this course, you will learn the basic concepts of deep learning, including the basic principles of neural networks, the basic principles of TensorFlow, Ker...
- Host: GitHub
- URL: https://github.com/labex-labs/foundations-of-deep-learning
- Owner: labex-labs
- Created: 2024-05-22T09:03:13.000Z (8 months ago)
- Default Branch: master
- Last Pushed: 2024-08-01T01:27:59.000Z (6 months ago)
- Last Synced: 2024-08-02T04:23:08.513Z (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
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Metadata Files:
- Readme: README.md
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README
# Foundations of Deep Learning
[![Foundations of Deep Learning](https://cover-creator.appbot.io/foundations-of-deep-learning.png)](https://labex.io/courses/foundations-of-deep-learning)
[![Start-Learning](https://img.shields.io/badge/Start-Learning-whitesmoke?style=for-the-badge)](https://labex.io/courses/foundations-of-deep-learning)
In this course, you will learn the basic concepts of deep learning, including the basic principles of neural networks, the basic principles of TensorFlow, Keras and PyTorch, and the basic principles of linear regression, logistic regression, and multi-layer neural networks. You will also learn how to use TensorFlow, Keras and PyTorch to build a linear regression model, a logistic regression model, and a multi-layer neural network model.
![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 Introduction to Deep Learning | β ββ | Start Lab |
| 2 | π Guide of Tensorflow | β ββ | Start Lab |
| 3 | π Building Multilayer Neural Network with TensorFlow | β ββ | Start Lab |
| 4 | π Guide of Keras | β ββ | Start Lab |
| 5 | π Build a Sequential Model with Keras | β ββ | Start Lab |
| 6 | π Guide of PyTorch | β ββ | Start Lab |
| 7 | π Linear Regression with PyTorch | 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)