Character-level text generation in pytorch

character_wise_RNN.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "# character-wise RNN"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "![Overview](https://github.com/udacity/deep-learning/raw/78c91a5607ecfdc29b762e45c082d7ca5047c8a1/intro-to-rnns/assets/charseq.jpeg)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "\n",
+    "import time\n",
+    "from collections import namedtuple\n",
+    "import torch\n",
+    "from torch import nn\n",
+    "import torch.nn.functional as F\n",
+    "import numpy as np"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
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+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
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+   "pygments_lexer": "ipython2",
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+}