Metadata-Version: 2.1
Name: wandb-callbacks
Version: 0.2.0
Summary: Additional custom callbacks for Weights & Biases
Home-page: https://github.com/FabianGroeger96/wandb-callbacks
Author: Fabian Groeger
Author-email: fabian.groeger@bluewin.ch
License: UNKNOWN
Description: [![PyPI version](https://badge.fury.io/py/wandb-callbacks.svg)](https://badge.fury.io/py/wandb-callbacks)
        
        # Weights &amp; Biases Callbacks
        `wandb-callbacks` provides some additional Callbacks for Weights &amp; Biases.
        
        Callbacks currently implemented:
        * `ActivationCallback`
          * visualizes the activations of a layer
          * activations are computed for a sample of each class
        * `DeadReluCallback`
          * logs the number of dead relus in each layer
          * prints warning if the percentage is higher than a threshold
        * `GradCAMCallback`
          *  [Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization](https://arxiv.org/pdf/1610.02391.pdf)
          *  produces a coarse localization map highlighting the important regions in the image for predicting the class of the image
        
        ## Sample Implementation
        Can be found in `notebooks/sample_implementation.ipynb`.
        
Keywords: wandb,keras,tensorflow,callbacks
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Description-Content-Type: text/markdown
