Update README.md

README.md

@@ -17,4 +17,6 @@ The model was trained using Keras on a dataset comprising video compilations fro
 
 The model underwent 65 training cycles, each consisting of 13 epochs.\
 In each cycle, a batch of 250 randomly selected images from the dataset was used, with at least 40 images depicting throw captures. The batch size was set to 20.\
-The custom top layer added for this task includes a Flatten layer followed by a Dense layer with 128 units and 'relu' activation, a Dropout layer with a rate of 0.4, and a final Dense layer with 1 unit and 'sigmoid' activation to predict throw captures.
+The custom top layer added for this task includes a Flatten layer followed by a Dense layer with 128 units and 'relu' activation, a Dropout layer with a rate of 0.4, and a final Dense layer with 1 unit and 'sigmoid' activation to predict throw captures.
+
+Processing 640x360 image took around 14.5ms on 3060 Ti