神经网络-在你的手机上训练神经网络

神经网络-在你的手机上训练神经网络

by 培文 杨

2 ratings
2 reviews
Free

Details

  • Released
  • Updated
  • June 3, 2016
  • May 8, 2020

Features

神经网络-在你的手机上训练神经网络 screenshot #1 for iPhone
神经网络-在你的手机上训练神经网络 screenshot #2 for iPhone
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About

Explore the inner workings of neural networks with this app, inspired by Google's Deep Playground. Visualize the training process, understand connection strengths, node responsibilities, and output results. It aims to make AI and neural network knowledge accessible and intuitive.

Visualize neural network training
Understand connection strengths
Identify node feature recognition
Observe final output images
Learn AI and neural network concepts
Intuitive learning experience
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What's New in 神经网络

1.2

May 8, 2020

更新UI

User reviews

Great demonstration

I wish it is in English...

Good app, but

Could you add label translation to English?

Developer apps

FAQ

What is 神经网络?

神经网络 is an application inspired by Google's Deep Playground that allows users to visualize and understand the training process of neural networks. It aims to make AI and neural network knowledge more accessible.

How does 神经网络 help users learn?

It provides an intuitive visual experience, allowing users to see changes in connection strengths, what features each node recognizes, and the final output images during neural network training.

Is 神经网络 free to use?

Yes, 神经网络 is available for free. It does not have any associated costs for download or use.

What devices does 神经网络 support?

神经网络 is supported on iPhone and iPod devices. It is designed for iOS mobile platforms.

How often is 神经网络 updated?

The latest version of 神经网络 was released on May 8, 2020. While updates may not be frequent, the current version is stable.

What is the age rating for 神经网络?

神经网络 has an age rating of 4+, making it suitable for a wide range of users interested in educational content.

Does 神经网络 have ads?

No, 神经网络 does not contain advertisements. Users can enjoy an uninterrupted learning experience.

Can I track my progress in 神经网络?

The application focuses on visualizing the training process rather than individual user progress tracking. It's designed for exploration and understanding of the concepts.