modify the initial_noise_multiplier of a dp example

examples/privacy/diff_privacy/lenet5_config.py

@@ -33,7 +33,7 @@ mnist_cfg = edict({
     'dataset_sink_mode': False,  # whether deliver all training data to device one time
     'micro_batches': 32,  # the number of small batches split from an original batch
     'norm_bound': 1.0,  # the clip bound of the gradients of model's training parameters
-    'initial_noise_multiplier': 1.0,  # the initial multiplication coefficient of the noise added to training
+    'initial_noise_multiplier': 0.4,  # the initial multiplication coefficient of the noise added to training
     # parameters' gradients
     'noise_mechanisms': 'Gaussian',  # the method of adding noise in gradients while training
     'clip_mechanisms': 'Gaussian',  # the method of adaptive clipping gradients while training