What website should I visit to get started with deep learning?

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What website should I visit to get started with deep learning? [Copy link]

 

What website should I visit to get started with deep learning?

开元轩

If you want to get started with deep learning, you can get relevant resources and learning materials from the following websites:

1. Coursera : There are many deep learning courses offered by well-known universities and institutions on Coursera, such as Stanford University's "Deep Learning" course, Andrew Ng's "Deep Learning Special Course", etc. These courses are rich in content, covering the basic knowledge and practical applications of deep learning, and are suitable for introductory learning.

2. edX : edX is another online learning platform that also provides some high-quality deep learning courses, such as MIT's "Deep Learning Foundations" course. Through edX, you can learn the theoretical knowledge and practical application skills of deep learning.

3. Kaggle : Kaggle is a data science competition platform with many deep learning-related competitions and projects. You can participate in them, learn and practice deep learning algorithms, and communicate and share experiences with other data scientists.

4. GitHub : There are many source codes and tutorials for deep learning projects on GitHub. You can search and browse these projects to learn from others' implementations and experiences. At the same time, you can also upload your own code to GitHub to share with others and receive feedback.

5. PyTorch official website : PyTorch is a popular deep learning framework. Its official website provides rich documentation, tutorials, and sample codes, which are suitable for getting started. You can learn about the basic concepts, installation methods, and usage tips of PyTorch from the official documentation.

6. TensorFlow official website : TensorFlow is another popular deep learning framework. Its official website also provides detailed documentation, tutorials, and sample codes, which are suitable for getting started. You can learn the basic principles and usage of TensorFlow from the official documentation.

The above websites are all good places to learn deep learning. You can choose appropriate resources for learning according to your needs and interests.

wsl123

You can learn how to get started with deep learning from the following websites:

1. Coursera ( https://www.coursera.org/):

   • Coursera offers many high-quality introductory deep learning courses taught by well-known universities and experts, covering the basic principles, applications, and practical techniques of deep learning.

2. Udacity (

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   • GitHub is a code hosting platform where you can find many open source deep learning projects and tutorials. You can learn deep learning technology by reading source code and participating in projects.

3. Deep Learning Book ( http://www.deeplearningbook.org/):

   • "Deep Learning" is a classic deep learning textbook. You can find relevant learning resources and links on its official website to learn the basic principles and algorithms of deep learning.

Through the above websites, you can systematically learn and understand the basic theories, practical skills and latest developments of deep learning, laying a solid foundation for applying deep learning technology to the field of electronics.

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As an electronics engineer getting started with deep learning, here are some deep learning websites worth paying attention to:

1. GitHub :

   • There are many open source deep learning projects and code repositories on GitHub where you can learn practical methods and techniques for deep learning and participate in the open source community.

2. Coursera :

   • Coursera offers many high-quality deep learning courses, taught by renowned universities and expert teams, where you can learn the basics and practical skills of deep learning.

3. Kaggle :

   • Kaggle is a data science competition platform with many deep learning-related competitions and projects. You can participate in these projects and communicate and compete with other data scientists and deep learning practitioners.

4. Medium :

   • There are many high-quality blog posts and tutorials in the field of deep learning on Medium. You can learn the latest deep learning research results and technology trends by reading these articles.

5. Towards Data Science :

   • Towards Data Science is a community platform focusing on data science and machine learning. It contains many articles and tutorials related to deep learning, which is suitable for students who want to learn deep learning in depth.

6. ArXiv :

   • ArXiv is an open access scientific paper preprint platform where you can find and read the latest deep learning research papers and learn about the latest research progress and technology trends.

7. Deep Learning Book :

   • The official website of the book "Deep Learning" provides resources such as content summaries, supplementary materials, and exercises. You can search and download relevant materials here.

The above websites are all high-quality resources in the field of deep learning, which can help you systematically learn the theory and practice of deep learning and understand the latest research progress and technology trends. Choose the appropriate website for learning and reference according to your needs and interests.