Swin Transformer (Shifted Window Transformer) can serve as a general-purpose backbone for computer vision. Swin Transformer is a hierarchical Transformer whose representations are computed with shifted windows. The shifted window scheme brings greater efficiency by limiting self-attention computation to non-overlapping local windows while also allowing for cross-window connections. This architecture has the flexibility to model information at various scales and has a linear computational complexity with respect to image size.
About The dataset
The dataset we are using here is called
CIFAR-100
. The CIFAR-10 dataset consists of 60000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.
Runs of keras-io swin-transformers on huggingface.co
6
Total runs
0
24-hour runs
0
3-day runs
-4
7-day runs
-15
30-day runs
More Information About swin-transformers huggingface.co Model
swin-transformers huggingface.co is an AI model on huggingface.co that provides swin-transformers's model effect (), which can be used instantly with this keras-io swin-transformers model. huggingface.co supports a free trial of the swin-transformers model, and also provides paid use of the swin-transformers. Support call swin-transformers model through api, including Node.js, Python, http.
swin-transformers huggingface.co is an online trial and call api platform, which integrates swin-transformers's modeling effects, including api services, and provides a free online trial of swin-transformers, you can try swin-transformers online for free by clicking the link below.
keras-io swin-transformers online free url in huggingface.co:
swin-transformers is an open source model from GitHub that offers a free installation service, and any user can find swin-transformers on GitHub to install. At the same time, huggingface.co provides the effect of swin-transformers install, users can directly use swin-transformers installed effect in huggingface.co for debugging and trial. It also supports api for free installation.