From 215476ffbd6c788d653ca58b6a969dfd03d597f6 Mon Sep 17 00:00:00 2001
From: hsharif3 <hsharif3@illinois.edu>
Date: Thu, 25 Mar 2021 07:40:25 +0000
Subject: [PATCH] Update Support.md

---
 hpvm/projects/keras/docs/Support.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/hpvm/projects/keras/docs/Support.md b/hpvm/projects/keras/docs/Support.md
index ba4dafcb92..b568d3d640 100644
--- a/hpvm/projects/keras/docs/Support.md
+++ b/hpvm/projects/keras/docs/Support.md
@@ -39,14 +39,15 @@ Dense(num_classes, activation="softmax")
 * For convolutions with stride > 1 `same` convolution is NOT supported. Explicitly add `ZeroPadding2D` layer before `Conv2D` or `DepthwiseConv2D` operators. Example of what does NOT work:
 
 ```python
-Conv2D(num_filters, (3,3), strides = (2,2), padding = `same`)
+Conv2D(num_filters, kernel_size = (3,3), strides = (2,2), padding = `same`)
 ```
 
 Example of what works instead:
 
 ```python
+# NOTE: Amount of padding varies with kernel sizes and strides
 ZeroPadding2D(padding=(1,1), data_format = `channels_first`) # only support NCHW
-Conv2D(num_filters, (3,3), strides = (2,2), padding = `valid`)
+Conv2D(num_filters, kernel_size = (3,3), strides = (2,2), padding = `valid`)
 ```
 
 
-- 
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