diff --git a/demos/data/xception/xception.json b/demos/data/xception/xception.json
new file mode 100644
index 0000000..acb6a54
--- /dev/null
+++ b/demos/data/xception/xception.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/demos/data/xception/xception_metadata.json b/demos/data/xception/xception_metadata.json
new file mode 100644
index 0000000..c717114
--- /dev/null
+++ b/demos/data/xception/xception_metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/demos/data/xception/xception_weights.buf b/demos/data/xception/xception_weights.buf
new file mode 100644
index 0000000..d13ee4a
--- /dev/null
+++ b/demos/data/xception/xception_weights.buf
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+version https://git-lfs.github.com/spec/v1
+oid sha256:3a868353f79f49d552fcfc41ee2aa6d076e60327afb1b4ca03c12209c9576738
+size 91641920
diff --git a/demos/notebooks/xception.ipynb b/demos/notebooks/xception.ipynb
new file mode 100644
index 0000000..9c91872
--- /dev/null
+++ b/demos/notebooks/xception.ipynb
@@ -0,0 +1,111 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Xception v1 - ImageNet\n",
+    "\n",
+    "see **https://github.com/fchollet/keras/blob/master/keras/applications/xception.py**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "WEIGHTS_FILEPATH = 'xception.hdf5'\n",
+    "MODEL_ARCH_FILEPATH = 'xception.json'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using TensorFlow backend.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from keras.applications import xception, imagenet_utils"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels.h5\n",
+      "91889664/91884032 [==============================] - 22s    \n"
+     ]
+    }
+   ],
+   "source": [
+    "input_shape = (299, 299, 3)\n",
+    "\n",
+    "model = xception.Xception(include_top=True, weights='imagenet')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "model.save_weights(WEIGHTS_FILEPATH)\n",
+    "\n",
+    "with open(MODEL_ARCH_FILEPATH, 'w') as f:\n",
+    "    f.write(model.to_json())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}