LST

Author: sarincr

Diff for: 17.LST.ipynb

@@ -767,7 +767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -777,7 +777,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -788,7 +788,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -797,13 +797,104 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
     "X_train = np.reshape(X_train, (X_train.shape[0], X_train.shape[1], 1))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[ 0.08581368],\n",
+       "        [ 0.09701243],\n",
+       "        [ 0.09433366],\n",
+       "        ..., \n",
+       "        [ 0.07846566],\n",
+       "        [ 0.08034452],\n",
+       "        [ 0.08497656]],\n",
+       "\n",
+       "       [[ 0.09701243],\n",
+       "        [ 0.09433366],\n",
+       "        [ 0.09156187],\n",
+       "        ..., \n",
+       "        [ 0.08034452],\n",
+       "        [ 0.08497656],\n",
+       "        [ 0.08627874]],\n",
+       "\n",
+       "       [[ 0.09433366],\n",
+       "        [ 0.09156187],\n",
+       "        [ 0.07984225],\n",
+       "        ..., \n",
+       "        [ 0.08497656],\n",
+       "        [ 0.08627874],\n",
+       "        [ 0.08471612]],\n",
+       "\n",
+       "       ..., \n",
+       "       [[ 0.92106928],\n",
+       "        [ 0.92438053],\n",
+       "        [ 0.93048218],\n",
+       "        ..., \n",
+       "        [ 0.95475854],\n",
+       "        [ 0.95204256],\n",
+       "        [ 0.95163331]],\n",
+       "\n",
+       "       [[ 0.92438053],\n",
+       "        [ 0.93048218],\n",
+       "        [ 0.9299055 ],\n",
+       "        ..., \n",
+       "        [ 0.95204256],\n",
+       "        [ 0.95163331],\n",
+       "        [ 0.95725128]],\n",
+       "\n",
+       "       [[ 0.93048218],\n",
+       "        [ 0.9299055 ],\n",
+       "        [ 0.93113327],\n",
+       "        ..., \n",
+       "        [ 0.95163331],\n",
+       "        [ 0.95725128],\n",
+       "        [ 0.93796041]]])"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X_train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ImportError",
+     "evalue": "No module named keras.models",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-15-1b08a8769e32>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodels\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mSequential\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlayers\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDense\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlayers\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mLSTM\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlayers\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDropout\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mImportError\u001b[0m: No module named keras.models"
+     ]
+    }
+   ],
+   "source": [
+    "from keras.models import Sequential\n",
+    "from keras.layers import Dense\n",
+    "from keras.layers import LSTM\n",
+    "from keras.layers import Dropout"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,