From ce26c5598e5d680104d096ed68b24a7a737b4fe3 Mon Sep 17 00:00:00 2001
From: Yadvichuk <35519913+Yadvichuk@users.noreply.github.com>
Date: Sun, 26 Feb 2023 13:11:04 +0300
Subject: [PATCH] Update vggnet_in_keras.ipynb

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

diff --git a/notebooks/vggnet_in_keras.ipynb b/notebooks/vggnet_in_keras.ipynb
index 98c0624..b7ca4af 100644
--- a/notebooks/vggnet_in_keras.ipynb
+++ b/notebooks/vggnet_in_keras.ipynb
@@ -64,7 +64,7 @@
     "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\n",
+    "from keras.layers import BatchNormalization\n",
     "from keras.callbacks import TensorBoard "
    ]
   },
@@ -83,6 +83,7 @@
    },
    "outputs": [],
    "source": [
+    "!pip install tflearn\n",
     "import tflearn.datasets.oxflower17 as oxflower17\n",
     "X, Y = oxflower17.load_data(one_hot=True)"
    ]