rename tot_batch_length to mini_batch_length for clarity

achaiah · Jun 7, 2018 · 7497726 · 7497726
1 parent 3e02dfd
commit 7497726
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Showing 2 changed files with 25 additions and 13 deletions.
diff --git a/code/ch16/ch16.ipynb b/code/ch16/ch16.ipynb
@@ -1631,19 +1631,19 @@
    ],
    "source": [
     "def reshape_data(sequence, batch_size, num_steps):\n",
-    "    tot_batch_length = batch_size * num_steps\n",
-    "    num_batches = int(len(sequence) / tot_batch_length)\n",
-    "    if num_batches*tot_batch_length + 1 > len(sequence):\n",
+    "    mini_batch_length = batch_size * num_steps\n",
+    "    num_batches = int(len(sequence) / mini_batch_length)\n",
+    "    if num_batches*minitot_batch_length + 1 > len(sequence):\n",
     "        num_batches = num_batches - 1\n",
     "    ## Truncate the sequence at the end to get rid of \n",
     "    ## remaining charcaters that do not make a full batch\n",
-    "    x = sequence[0 : num_batches*tot_batch_length]\n",
-    "    y = sequence[1 : num_batches*tot_batch_length + 1]\n",
+    "    x = sequence[0 : num_batches*mini_batch_length]\n",
+    "    y = sequence[1 : num_batches*mini_batch_length + 1]\n",
     "    ## Split x & y into a list batches of sequences: \n",
     "    x_batch_splits = np.split(x, batch_size)\n",
     "    y_batch_splits = np.split(y, batch_size)\n",
     "    ## Stack the batches together\n",
-    "    ## batch_size x tot_batch_length\n",
+    "    ## batch_size x mini_batch_length\n",
     "    x = np.stack(x_batch_splits)\n",
     "    y = np.stack(y_batch_splits)\n",
     "    \n",
@@ -2866,7 +2866,19 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.4"
+  },
+  "toc": {
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
   }
  },
  "nbformat": 4,

diff --git a/code/ch16/ch16.py b/code/ch16/ch16.py
@@ -495,19 +495,19 @@ def predict(self, X_data, return_proba=False):
 
 
 def reshape_data(sequence, batch_size, num_steps):
-    tot_batch_length = batch_size * num_steps
-    num_batches = int(len(sequence) / tot_batch_length)
-    if num_batches*tot_batch_length + 1 > len(sequence):
+    mini_batch_length = batch_size * num_steps
+    num_batches = int(len(sequence) / mini_batch_length)
+    if num_batches*mini_batch_length + 1 > len(sequence):
         num_batches = num_batches - 1
     ## Truncate the sequence at the end to get rid of 
     ## remaining charcaters that do not make a full batch
-    x = sequence[0 : num_batches*tot_batch_length]
-    y = sequence[1 : num_batches*tot_batch_length + 1]
+    x = sequence[0 : num_batches*mini_batch_length]
+    y = sequence[1 : num_batches*mini_batch_length + 1]
     ## Split x & y into a list batches of sequences: 
     x_batch_splits = np.split(x, batch_size)
     y_batch_splits = np.split(y, batch_size)
     ## Stack the batches together
-    ## batch_size x tot_batch_length
+    ## batch_size x mini_batch_length
     x = np.stack(x_batch_splits)
     y = np.stack(y_batch_splits)