{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Using TensorFlow backend.\n" ] } ], "source": [ "from keras.applications.resnet50 import ResNet50\n", "from quiver_engine import server\n", "from keras.models import Model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Visualizing CNN's intermediate layer output\n", "\n", "We'll use [quiver](https://github.com/keplr-io/quiver) which works for Keras models." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![panda](../../assets/panda.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "