Security News
tea.xyz Spam Plagues npm and RubyGems Package Registries
Tea.xyz, a crypto project aimed at rewarding open source contributions, is once again facing backlash due to an influx of spam packages flooding public package registries.
Readme
keravis is a high-level API for ConvNet visualizations in Keras. As of v1.0, it supports visualizations of
with support for nested pretrained models.
This is a hobby project that was inspired by lecture 14 of Stanford's CS231n: Convolutional Neural Networks for Visual Recognition http://cs231n.stanford.edu/. It is not yet optimized for serious use (see keras-vis instead).
You can install keravis using pip
pip install keravis
Read the documentation
Below are sample visualizations from a small convolutional network trained on MNIST
from keravis import feature_space
feature_space(model,X=x_test[:5000],y=y_test[:5000],kind='tsne')
from keravis import saliency_backprop
saliency_backprop(model,test_img,class_idx=7)
from keravis import saliency_guided_backprop
saliency_guided_backprop(model,test_img,class_idx=7)
from keravis import maximal_class_score_input
maximal_class_score_input(model,class_idx=5,dim=(28,28,1))
from keravis import maximally_activating_patches
maximally_activating_patches(model,'conv2d_1',X=x_test)
FAQs
A high-level API for ConvNet visualizations in Keras
We found that keravis demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Tea.xyz, a crypto project aimed at rewarding open source contributions, is once again facing backlash due to an influx of spam packages flooding public package registries.
Security News
As cyber threats become more autonomous, AI-powered defenses are crucial for businesses to stay ahead of attackers who can exploit software vulnerabilities at scale.
Security News
UnitedHealth Group disclosed that the ransomware attack on Change Healthcare compromised protected health information for millions in the U.S., with estimated costs to the company expected to reach $1 billion.