---
layout: default
title: 256x256x3 Convolutional Neural Network
permalink: /gallery/ILSVRC2012/dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3
---

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## ILSVRC2012 Classification: 256x256x3 Convolutional Neural Network (49.65% top 1 accuracy, 74.12% top 5 accuracy, 390ms/frame on Raspberry Pi 3)

<table class="table table-striped table-bordered">
    <tr>
        <td> Download </td>
        <td colspan="3"> <a href="https://github.com/Microsoft/ELL-models/raw/master/models/ILSVRC2012/dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3/dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3.ell.zip">dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3.ell.zip</a></td>
    </tr>
    <tr>
        <td> Accuracy </td>
        <td colspan="3"> ILSVRC2012: 74.12% (Top 5), 49.65% (Top 1) </td>
    </tr>
    <tr>
        <td> Performance </td>
        <td colspan="3"> Raspberry Pi 3 (Raspbian) @ 700MHz: 390ms/frame </td>
    </tr>
    <tr>
        <td> Uncompressed Size </td>
        <td colspan="3"> 27MB </td>
    </tr>
    <tr>
        <td> Input </td>
        <td colspan="3"> 256 &times; 256 &times; {B,G,R} </td>
    </tr>
    <tr>
        <td> Architecture </td>
        <td>
            <a href="https://github.com/Microsoft/ELL-models/raw/master/models/ILSVRC2012/dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3/dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3.cntk.svg?sanitize=true" target="_blank">dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3 architecture (SVG)</a>
        </td>
    </tr>
    <tr>
        <td> Output </td>
        <td colspan="3"> <a href="https://github.com/Microsoft/ELL-models/raw/master/models/ILSVRC2012/categories.txt">ILSVRC2012 1000 classes</a> </td>
    </tr>
    <tr>
        <td> Notes </td>
        <td colspan="3"> Trained by Juan Lema using CNTK 2.3.1 </td>
    </tr>
</table>

