From 1b02ff7c702dfd107c34945d6a58a483a057d654 Mon Sep 17 00:00:00 2001
From: Yadvichuk <35519913+Yadvichuk@users.noreply.github.com>
Date: Sun, 26 Feb 2023 13:10:08 +0300
Subject: [PATCH] Update alexnet_in_keras.ipynb

BatchNormalization should be imported now directly from keras.layers + added pip instructions for tflearn for better compatibility with Colab
---
 notebooks/alexnet_in_keras.ipynb | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/notebooks/alexnet_in_keras.ipynb b/notebooks/alexnet_in_keras.ipynb
index 9c98392..0360626 100644
--- a/notebooks/alexnet_in_keras.ipynb
+++ b/notebooks/alexnet_in_keras.ipynb
@@ -45,7 +45,7 @@
     "import keras\n",
     "from keras.models import Sequential\n",
     "from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D\n",
-    "from keras.layers.normalization import BatchNormalization"
+    "from keras.layers import BatchNormalization"
    ]
   },
   {
@@ -86,6 +86,7 @@
     }
    ],
    "source": [
+    "!pip install tflearn\n",
     "import tflearn.datasets.oxflower17 as oxflower17\n",
     "X, Y = oxflower17.load_data(one_hot=True)"
    ]