Update README.md
Browse files
README.md
CHANGED
@@ -4,24 +4,34 @@ datasets:
|
|
4 |
- ILSVRC/imagenet-1k
|
5 |
pipeline_tag: image-classification
|
6 |
---
|
7 |
-
Intro:
|
8 |
-
|
9 |
-
This repository stores the model for Resnet50v1.5 to be compatible with the Kalray's neural network
|
10 |
-
Please see www.github.com/kalray/kann-models-zoo for details and proper usage.
|
|
|
|
|
|
|
11 |
|
12 |
-
Contents:
|
13 |
-
--------
|
14 |
- ONNX: resnet50v1.5.onnx
|
15 |
- TFLite: resnet50v1.5.tflite
|
16 |
|
17 |
-
Lecture note reference:
|
18 |
-
|
19 |
Deep Residual Learning for Image Recognition, https://arxiv.org/pdf/1512.03385.pdf
|
20 |
|
21 |
-
Repository or links
|
22 |
-
|
23 |
https://pytorch.org/vision/main/models/generated/torchvision.models.resnet50.html#torchvision.models.resnet50
|
24 |
|
25 |
-
|
26 |
-
|
27 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4 |
- ILSVRC/imagenet-1k
|
5 |
pipeline_tag: image-classification
|
6 |
---
|
7 |
+
# Intro:
|
8 |
+
|
9 |
+
This repository stores the model for Resnet50v1.5 to be compatible with the Kalray's neural network API. </br>
|
10 |
+
Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
|
11 |
+
Please see https://huggingface.co/docs/transformers/main/en/model_doc/resnet for Resnet model description. </br>
|
12 |
+
|
13 |
+
# Contents:
|
14 |
|
|
|
|
|
15 |
- ONNX: resnet50v1.5.onnx
|
16 |
- TFLite: resnet50v1.5.tflite
|
17 |
|
18 |
+
# Lecture note reference:
|
19 |
+
|
20 |
Deep Residual Learning for Image Recognition, https://arxiv.org/pdf/1512.03385.pdf
|
21 |
|
22 |
+
# Repository or links references:
|
23 |
+
|
24 |
https://pytorch.org/vision/main/models/generated/torchvision.models.resnet50.html#torchvision.models.resnet50
|
25 |
|
26 |
+
BibTeX entry and citation info
|
27 |
+
```
|
28 |
+
@inproceedings{he2016deep,
|
29 |
+
title={Deep residual learning for image recognition},
|
30 |
+
author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
|
31 |
+
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
|
32 |
+
pages={770--778},
|
33 |
+
year={2016}
|
34 |
+
}
|
35 |
+
```
|
36 |
+
|
37 |
+
Author: [email protected]
|