Netscope CNN Analyzer

A web-based tool for visualizing and analyzing convolutional neural network architectures (or technically, any directed acyclic graph). Currently supports Caffe's prototxt format.

Basis by ethereon and dgschwend. Extended for CNN Analysis by kentanabe.

This fork adds support for following layers.

Gist Support

If your .prototxt file is part of a GitHub Gist, you can visualize it by visiting this URL:

http://kentanabe.github.io/netscope/#/gist/your-gist-id

The Gist ID is the numeric suffix in the Gist's URL.

View Example

Editor

You can use the inline editor to enter your network definition (currently limited to valid Caffe's prototext) and visualize the network.

Press Shift+Enter in the editor to render your network.

Launch Editor

Presets

DPN-92
Yang Soeaver(see the repository)
EfficientNet-b0
kentanabe(see the repository) converted from TensorFlow implementation by tensorflow team(see the repository)
ERFNet
Uelong-Yu(see the repository)
MobileNetV3_std_conv
kentanabe(see the repository)
MobilenetV3
eric612(see the repository)
SENet ResNet 50 v1
shicai(see the repository)
SENet ResNet 50
hujie-frank(see the repository)
ICNet
hszhao(see the repository)
DenseNet 121 with round_mode: FLOOR
kentanabe(see the repository)
DenseNet 121 with ceil_mode: false
shicai(see the repository)
ZynqNet CNN
David Gschwend (see the master thesis repository)
YOLO
Joseph Redmon, Ali Farhadi
SqueezeNet
Forrest Iandola, Matthew Moskewicz, Khalid Ashraf, Song Han, William Dally, Kurt Keutzer
SqueezeNet v1.1
Forrest Iandola, Matthew Moskewicz, Khalid Ashraf, Song Han, William Dally, Kurt Keutzer
Inception v4
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
Inception-ResNet-v2
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
Inception v3
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
ResNet-50
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
ResNet-152
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
AlexNet
Alex Krizhevsky, Ilya Sutskever, Geoffry Hinton
CaffeNet
Yangqing Jia, Evan Shelhamer, et. al.
GoogLeNet
Christian Szegedy, et. al.
Network in Network
Min Lin, Qiang Chen, Shuicheng Yan
VGG 16 Layers
Karen Simonyan, Andrew Zisserman