vgg.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels.h5\n",
      "553467904/553467096 [==============================] - 31s 0us/step\n",
      "553476096/553467096 [==============================] - 31s 0us/step\n"
     ]
    }
   ],
   "source": [
    "model = vgg16.VGG16(weights=\"imagenet\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.7 64-bit",
   "language": "python",
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  "language_info": {
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
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 "nbformat": 4,
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