Neural network visualization toolkit for tf.keras
Project description
tf-keras-vis
tf-keras-vis is a visualization toolkit for debugging tf.keras
models in Tensorflow2.
The features of tf-keras-vis are based on keras-vis, but tf-keras-vis's APIs doesn't have compatibility with keras-vis's, because we prioritized to get following features for our expriments.
- Support processing multipul images at a time as a batch
- Support tf.keras.Model that has multipul inputs (and, of course, multipul outpus too)
- Allow to use optimizers that embeded in tf.keras
Visualizations
Visualize Dense Layer
Visualize Convolutional Filer
Saliency Map and GradCAM
Requirements
- Python 3.5-3.8
- tensorflow>=2.0
Installation
- PyPI
$ pip install tf-keras-vis tensorflow
- Docker (container that run Jupyter Notebook)
$ docker run -itd -p 8888:8888 keisen/tf-keras-vis:0.2.4
If you have GPU processors,
$ docker run -itd --runtime=nvidia -p 8888:8888 keisen/tf-keras-vis:0.2.4-gpu
You can find other images at Docker Hub.
Usage
Please see examples/attentions.ipynb, examples/visualize_dense_layer.ipynb and examples/visualize_conv_filters.ipynb for details.
Known Issues
- With InceptionV3, ActivationMaximization doesn't work well, that's, it might generate meanninglessly bulr image.
- With cascading model, Gradcam doesn't work well, that's, it might occur some error.
- Unsupported
channels-first
models and datas.
ToDo
- API documentations
- We're going to add some algorisms such as below.
- GradCAM++
- SmoothGrad: removing noise by adding noise (DONE)
- Deep Dream
- Style transfer
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tf-keras-vis-0.3.1.tar.gz
(10.8 kB
view hashes)
Built Distribution
Close
Hashes for tf_keras_vis-0.3.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5d8083e6779d9a79ce19968863dcc718a553841abc19c195b86e587ee764e985 |
|
MD5 | b688d43d32a8f1a7062b9816cdab4a66 |
|
BLAKE2b-256 | c5ccc3c47ee3718b9c04a0e4dfb0411559f506c4a1000dbd9a4f5cc855fb41f1 |