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align=\"center\"\u003e\n    \u003cimg src=\"http://gdurl.com/NKrM\" width=\"512\"\u003e\n\u003c/div\u003e\n\u003cbr\u003e\n\n| Better Code Hub compliance |\n|:--------------------------:|\n| [![Better Code Hub compliance](https://bettercodehub.com/edge/badge/PhTrempe/conviz)](https://bettercodehub.com/) |\n\n## Description\n\nConviz is a convolutional neural network layer visualization library developed \nin Python and used with Keras.\n\n## How to Install\n\n```\npip install conviz\n```\n\n## A Small Example to Get You Started\n\n```python\nfrom conviz.models import cifar10\nfrom conviz.utils.image_util import ImageUtil\nfrom conviz.visualizer import Visualizer\n\n\n# Loads a model trained on the CIFAR10 dataset\nmodel = cifar10.load()\n\n# Creates and binds a visualizer to the model\nvisualizer = Visualizer(model)\n\n# Gets the layer of the model to visualize\nlayer = model.get_layer(\"conv1\")\n\n# Generates the visualization for the selected layer as a 4 by 4 grid of filters\nimg = visualizer.visualize(layer, (4, 4), ga_rate=0.1, num_steps=1000)\n\n# Saves the generated visualization image to a file\nImageUtil.save_image(img, \"./conv1.png\")\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fphtrempe%2Fconviz","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fphtrempe%2Fconviz","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fphtrempe%2Fconviz/lists"}