examples/hybrid - fix README

examples/hybrid/README.md

@@ -3,17 +3,17 @@
 The examples in this directory show hybrid pruning schedules in which we combine several different pruning strategies.
 
 1. [alexnet.schedule_agp_2Dreg.yaml](https://github.com/NervanaSystems/distiller/blob/master/examples/hybrid/alexnet.schedule_agp_2Dreg.yaml)
-<br>
-This example presents a pruning-schedule that performs element-wise (fine grain) pruning, 
-with 2D group (kernel) regularization.  The regularization "pushes" 2D kernels towards zero, while
-the pruning attends to individual weights coefficients.  The pruning schedule is driven by AGP.
 
+    This example presents a pruning-schedule that performs element-wise (fine grain) pruning, 
+    with 2D group (kernel) regularization.  The regularization "pushes" 2D kernels towards zero, while
+    the pruning attends to individual weights coefficients.  The pruning schedule is driven by AGP.
 2. [alexnet.schedule_sensitivity_2D-reg.yaml](https://github.com/NervanaSystems/distiller/blob/master/examples/hybrid/alexnet.schedule_sensitivity_2D-reg.yaml)
-<br>
-This example also presents a pruning-schedule that performs element-wise (fine grain) pruning, 
-with 2D group (kernel) regularization.  However, the pruner is a `Distiller.pruning.SensitivityPruner` which is
-driven by the tensors' [sensitivity](https://nervanasystems.github.io/distiller/algo_pruning.html#sensitivity-pruner), instead of AGP.
 
+    This example also presents a pruning-schedule that performs element-wise (fine grain) pruning, 
+    with 2D group (kernel) regularization.  However, the pruner is a `Distiller.pruning.SensitivityPruner` which is
+    driven by the tensors' [sensitivity](https://nervanasystems.github.io/distiller/algo_pruning.html#sensitivity-pruner), instead of AGP.
+
+<br>
 
 |Experiment| Model | Sparsity  | Top1  | Baseline Top1
 | :---: | --- | :---: |    ---: |  ---: |