Overview of Public Resources

HyperAI Provided three types of public resources:

1. Public datasets
2. Public Tutorial
3. Public Model

Public datasets

The training of machine learning models typically requires the use of a large amount of labeled data. There are currently a large number of public datasets available on the market (as PASCAL_VOC)Convenient for machine learning practitioners to use directly. Some of these datasets are quite large in scale. For the convenience of users, they can directly access it HyperAI Platform direct use (Instead of downloading and uploading on your own), HyperAI We will periodically pass this universal dataset through "Public datasets" The form provided to HyperAI The users.

note

When you bind the data in the public dataset to a container in a read-only manner. The space used for its dataset will not occupy the corresponding personal storage space

stay "Create a new container" When. Public datasets can be bound to containers:

Public Tutorial

Public tutorials mainly refer to some tutorials available on the market. Convenient for users to familiarize themselves with HyperAI The use of, adopt "clone" You can directly run the tutorial. Convenient for users to learn the corresponding content.

Public Model

Similar to public datasets. There are a large number of pre trained models on the market that can be used for Transfer learning , These pre trained models are usually obtained through large-scale datasets and extensive computing power training.alike. These pre trained models can also be bound to containers for use when creating new ones.

Jurisdiction

Public resources do not support batch downloads. Users must go through Data binding Visit the content later.