diff --git a/sw_lab8.ipynb b/sw_lab8.ipynb
index 57d9338..9584c88 100644
--- a/sw_lab8.ipynb
+++ b/sw_lab8.ipynb
@@ -3240,25 +3240,17 @@
     "model_batch_drop = keras.models.Sequential([\n",
     "    keras.layers.Conv2D(filters=96, kernel_size=(11,11), strides=(4,4), activation='relu', input_shape=(227,227,3)),\n",
     "    keras.layers.BatchNormalization(),\n",
-    "    keras.layers.Dropout(.5),\n",
     "    keras.layers.MaxPool2D(pool_size=(3,3), strides=(2,2)),\n",
-    "    keras.layers.Dropout(.5),\n",
     "    keras.layers.Conv2D(filters=256, kernel_size=(5,5), strides=(1,1), activation='relu', padding=\"same\"),\n",
     "    keras.layers.BatchNormalization(),\n",
-    "    keras.layers.Dropout(.5),\n",
     "    keras.layers.MaxPool2D(pool_size=(3,3), strides=(2,2)),\n",
-    "    keras.layers.Dropout(.5),\n",
     "    keras.layers.Conv2D(filters=384, kernel_size=(3,3), strides=(1,1), activation='relu', padding=\"same\"),\n",
     "    keras.layers.BatchNormalization(),\n",
-    "    keras.layers.Dropout(.5),\n",
     "    keras.layers.Conv2D(filters=384, kernel_size=(3,3), strides=(1,1), activation='relu', padding=\"same\"),\n",
     "    keras.layers.BatchNormalization(),\n",
-    "    keras.layers.Dropout(.5),\n",
     "    keras.layers.Conv2D(filters=256, kernel_size=(3,3), strides=(1,1), activation='relu', padding=\"same\"),\n",
     "    keras.layers.BatchNormalization(),\n",
-    "    keras.layers.Dropout(.5),\n",
     "    keras.layers.MaxPool2D(pool_size=(3,3), strides=(2,2)),\n",
-    "    keras.layers.Dropout(.5),\n",
     "    keras.layers.Flatten(),\n",
     "    keras.layers.Dense(4096, activation='relu'),\n",
     "    keras.layers.Dropout(.5),\n",
@@ -3623,7 +3615,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.9.4 64-bit",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -3637,12 +3629,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.10.7 (tags/v3.10.7:6cc6b13, Sep  5 2022, 14:08:36) [MSC v.1933 64 bit (AMD64)]"
   },
   "orig_nbformat": 4,
   "vscode": {
    "interpreter": {
-    "hash": "085c51388782ab7dcc7b32a500f9634129d1cddb82cd7a37058a5984251a0bc1"
+    "hash": "1b132c2ed43285dcf39f6d01712959169a14a721cf314fe69015adab49bb1fd1"
    }
   }
  },