English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

At the heart of foundation models is the philosophy of "more is different",exemplified by the astonishing success in computer vision and natural languageprocessing. However, the challenges of optimization and inherent complexity oftransformer models call for a paradigm shift towards simplicity. In this study,we introduce VanillaNet, a neural network architecture that embraces elegancein design. By avoiding high depth, shortcuts, and intricate operations likeself-attention, VanillaNet is refreshingly concise yet remarkably powerful.Each layer is carefully crafted to be compact and straightforward, withnonlinear activation functions pruned after training to restore the originalarchitecture. VanillaNet overcomes the challenges of inherent complexity,making it ideal for resource-constrained environments. Its easy-to-understandand highly simplified architecture opens new possibilities for efficientdeployment. Extensive experimentation demonstrates that VanillaNet deliversperformance on par with renowned deep neural networks and vision transformers,showcasing the power of minimalism in deep learning. This visionary journey ofVanillaNet has significant potential to redefine the landscape and challengethe status quo of foundation model, setting a new path for elegant andeffective model design. Pre-trained models and codes are available athttps://github.com/huawei-noah/VanillaNet andhttps://gitee.com/mindspore/models/tree/master/research/cv/vanillanet.

VanillaNet: the Power of Minimalism in Deep Learning