ann-visualizer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ANN Visualizer \n",
    "\n",
    "https://github.com/Prodicode/ann-visualizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from ann_visualizer.visualize import ann_viz\n",
    "import keras\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Dense(input_dim=2, units=1, activation='sigmoid'))\n",
    "model.add(Dense(units=1, activation='sigmoid'))\n",
    "ann_viz(model, title=\"Perceptron\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Dense(input_dim=2, units=2, activation='sigmoid'))\n",
    "model.add(Dense(input_dim=2, units=3, activation='sigmoid'))\n",
    "model.add(Dense(units=2, activation='sigmoid'))\n",
    "ann_viz(model, title=\"MLP\")"
   ]
  }
 ],
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Hi! We have added support for Conv2D, MaxPooling2D, Flatten and Dropout layers!