Remove Experimental model

It didn't perform any better than the regular model
Removing batch normalisation significantly harmed training performance

main.py

@@ -2,7 +2,10 @@ import fast_depth_functional as fd
 
 if __name__ == '__main__':
     fd.fix_windows_gpu()
-    model = fd.mobilenet_nnconv5_no_bn(weights='imagenet')
+    model = fd.mobilenet_nnconv5(weights='imagenet')
     fd.compile(model)
     fd.train(existing_model=model, save_file='../fast-depth-experimental')
     fd.evaluate(model)
+
+    # Save in Tensorflow SavedModel format
+    # tf.saved_model.save(model, 'fast_depth_nyu_v2_224_224_3_e1_saved_model')