Update Support.md

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`)
 ```