From c8590739f326cac33a3e5c557249d91c5c52c859 Mon Sep 17 00:00:00 2001
From: Felix Yu <flyyufelix@gmail.com>
Date: Sun, 2 Jul 2017 19:39:07 +0800
Subject: [PATCH] Updated README

---
 README.md        | 8 ++++++--
 custom_layers.py | 4 ++++
 2 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 618487f..4c74855 100644
--- a/README.md
+++ b/README.md
@@ -36,7 +36,11 @@ Check [this](https://github.com/flyyufelix/cnn_finetune) out to see example of f
 
 ## Requirements
 
-* Keras 1.2.2
-* Theano 0.8.2 or TensorFlow 0.12.0
+* Keras ~~1.2.2~~ 2.0.5
+* Theano 0.8.2 or TensorFlow ~~0.12.0~~ 1.2.1
+
+## Updates
+
+* Keras 2.0.5 and TensorFlow 1.2.1 are supported
 
 
diff --git a/custom_layers.py b/custom_layers.py
index c761481..7f7b04a 100644
--- a/custom_layers.py
+++ b/custom_layers.py
@@ -47,8 +47,12 @@ class Scale(Layer):
         self.input_spec = [InputSpec(shape=input_shape)]
         shape = (int(input_shape[self.axis]),)
 
+        # Tensorflow >= 1.0.0 compatibility
         self.gamma = K.variable(self.gamma_init(shape), name='{}_gamma'.format(self.name))
         self.beta = K.variable(self.beta_init(shape), name='{}_beta'.format(self.name))
+        #self.gamma = self.gamma_init(shape, name='{}_gamma'.format(self.name))
+        #self.beta = self.beta_init(shape, name='{}_beta'.format(self.name))
+        self.beta = self.beta_init(shape)
         self.trainable_weights = [self.gamma, self.beta]
 
         if self.initial_weights is not None: