The ConvMixer model is trained on Cifar10 dataset and is based on
the paper
,
github
.
Disclaimer : This is a demo model for Sayak Paul's keras
example
. Please refrain from using this model for any other purpose.
Description
The paper uses 'patches' (square group of pixels) extracted from the image, which has been done in other Vision Transformers like
ViT
. One notable dawback of such architectures is the quadratic runtime of self-attention layers which takes a lot of time and resources to train for usable output. The ConvMixer model, instead uses Convolutions along with the MLP-mixer to obtain similar results to that of transformers at a fraction of cost.
Intended Use
This model is intended to be used as a demo model for keras-io.
Runs of keras-io convmixer on huggingface.co
7
Total runs
0
24-hour runs
0
3-day runs
-10
7-day runs
-8
30-day runs
More Information About convmixer huggingface.co Model
convmixer huggingface.co is an AI model on huggingface.co that provides convmixer's model effect (), which can be used instantly with this keras-io convmixer model. huggingface.co supports a free trial of the convmixer model, and also provides paid use of the convmixer. Support call convmixer model through api, including Node.js, Python, http.
convmixer huggingface.co is an online trial and call api platform, which integrates convmixer's modeling effects, including api services, and provides a free online trial of convmixer, you can try convmixer online for free by clicking the link below.
keras-io convmixer online free url in huggingface.co:
convmixer is an open source model from GitHub that offers a free installation service, and any user can find convmixer on GitHub to install. At the same time, huggingface.co provides the effect of convmixer install, users can directly use convmixer installed effect in huggingface.co for debugging and trial. It also supports api for free installation.