KellenSunderland commented on a change in pull request #12933: Update
autoencoder example
URL: https://github.com/apache/incubator-mxnet/pull/12933#discussion_r236123369
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File path: example/autoencoder/convolutional_autoencoder.ipynb
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@@ -0,0 +1,587 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Convolutional Autoencoder"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In this example we will demonstrate how you can create a convolutional
autoencoder in Gluon"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import random\n",
+ "\n",
+ "import matplotlib.pyplot as plt\n",
+ "import mxnet as mx\n",
+ "from mxnet import autograd, nd, gluon"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Data\n",
+ "\n",
+ "We will use the FashionMNIST dataset which is of a similar format than
MNIST but is richer and has more variance"
Review comment:
Supernit: "We will use the FashionMNIST dataset which is of a similar format
than MNIST but is richer and has more variance" to me sounds more natural as
"We will use the FashionMNIST dataset, which is of a similar format to MNIST
but is richer and has more variance"
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