Update README.md (#3)

examples/infer_inception_v4_amp/README.md

@@ -3,7 +3,7 @@
 ## Introduction
 Advanced Automatic Mixed Precision (Advanced AMP) uses lower-precision data types (such as float16 or bfloat16) to make model run with 16-bit and 32-bit mixed floating-point types during training and inference to make it run faster with less memory consumption in CPU and GPU.
 
-For detailed info, please refer to [Advanced Automatic Mixed Precision](../../../docs/guide/advanced_auto_mixed_precision.md)
+For detailed info, please refer to [Advanced Automatic Mixed Precision](../../docs/guide/advanced_auto_mixed_precision.md)
 
 This example shows the acceleration of inference by Advanced AMP on Intel CPU or GPU.
 
@@ -173,4 +173,4 @@ Throughputs Normalized          1                       X.867908472383153
 1. If you get the following error log, refer to [Enable Running Environment](#Enable-Running-Environment) to Enable oneAPI running environment.
 ``` 
 tensorflow.python.framework.errors_impl.NotFoundError: libmkl_sycl.so.2: cannot open shared object file: No such file or directory
-```
+```