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Wide Residual Network
About Wide Residual Network
Wide Residual Network is an AI model developed by Université Paris-Est, in the vision category, released in 2016, made available as a proprietary (API-only) model.
On this page you'll find Wide Residual Network's full specifications. Review provider pricing and benchmark scores below, or compare Wide Residual Network head-to-head with other vision models.
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Frequently asked questions
What is Wide Residual Network? ▶
Wide Residual Network is an AI model developed by Université Paris-Est, in the vision category, released in 2016. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Wide Residual Network? ▶
Wide Residual Network was developed by Université Paris-Est and released in 2016.
Is Wide Residual Network open source or proprietary? ▶
Wide Residual Network is a proprietary model. It is accessed through an API rather than by downloading the weights.
How much does Wide Residual Network cost? ▶
Pricing for Wide Residual Network depends on the provider. See the providers table on this page for the latest API rates.
How does Wide Residual Network perform on benchmarks? ▶
Benchmark scores for Wide Residual Network are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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