# sumanth-kalluri/cnn\_hardware\_acclerator\_for\_fpga

<https://repo.masters-masters.com/en/repos/sumanth-kalluri/cnn_hardware_acclerator_for_fpga>

[Home](https://repo.masters-masters.com/en) › [sumanth-kalluri](https://repo.masters-masters.com/en/owners/sumanth-kalluri) › [cnn\_hardware\_acclerator\_for\_fpga](https://repo.masters-masters.com/en/repos/sumanth-kalluri/cnn_hardware_acclerator_for_fpga)

sumanth-kalluri/cnn\_hardware\_acclerator\_for\_fpga has 199 stars on GitHub. Its RepoMasters card: Prototype tier. This is a fully parameterized verilog…

| Field | Value |
| --- | --- |
| Owner | [sumanth-kalluri](https://repo.masters-masters.com/en/owners/sumanth-kalluri) |
| Stars | 199 |
| Forks | 51 |
| Language | [Verilog](https://repo.masters-masters.com/en/languages/verilog) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sumanth-kalluri/cnn\_hardware\_acclerator\_for\_fpga](https://github.com/sumanth-kalluri/cnn_hardware_acclerator_for_fpga) |

## Repository

This is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Networks on FPGAs

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.