Update README.md

README.md

@@ -46,7 +46,7 @@ The YAD2K converter currently only supports YOLO_v2 style models, this include t
 
 `yad2k.py -p` will produce a plot of the generated Keras model. For example see [yolo.png](model_data/yolo.png).
 
-YAD2K assumes the Keras backend is Tensorflow. In particular for YOLO_v2 models with a passthrough layer, YAD2K uses `tf.space_to_depth` to implement the passthrough layer. The evaluation script also directly uses Tensorflow tensors and uses `tf.non_max_supression` for the final output.
+YAD2K assumes the Keras backend is Tensorflow. In particular for YOLO_v2 models with a passthrough layer, YAD2K uses `tf.space_to_depth` to implement the passthrough layer. The evaluation script also directly uses Tensorflow tensors and uses `tf.non_max_suppression` for the final output.
 
 `voc_conversion_scripts` contains two scripts for converting the Pascal VOC image dataset with XML annotations to either HDF5 or TFRecords format for easier training with Keras or Tensorflow.