message: Use ticks in all three occurrences of ALL TESTS...
diff: @@ -36,7 +36,7 @@ Building requires a Linux or OS X machine.
  - Download the dependencies by running `tensorflow/contrib/lite/experimental/micro/tools/make/download_dependencies.sh`. This may take a few minutes
  - Build and test the library with `make -f tensorflow/contrib/lite/experimental/micro/tools/make/Makefile test`
  -You should see a series of compilation steps, followed by "~~~ALL TESTS PASSED~~~" for the various tests of the code that it will run. If there's an error, you should get an informative message from make about what went wrong.
  +You should see a series of compilation steps, followed by `~~~ALL TESTS PASSED~~~` for the various tests of the code that it will run. If there's an error, you should get an informative message from make about what went wrong.
  These tests are all built as simple binaries with few dependencies, so you can run them manually. For example, here's how to run the depthwise convolution test, and its output:
  @@ -111,4 +111,4 @@ LOGS:
  tensorflow/contrib/lite/experimental/micro/tools/make/gen/bluepill_cortex-m3/bin/tensorflow/contrib/lite/experimental/micro/kernels/depthwise_conv_test: PASS
  ```
  -There's a lot of output here, but you should be able to see that the same tests that were covered when we ran locally on the development machine show up in the debug logs here, along with the magic string "~~~ALL TESTS PASSED~~~". This is the exact same code as before, just compiled and run on the STM32F103 rather than your desktop. We hope that the simplicity of this testing approach will help make adding support for new platforms as easy as possible.
  +There's a lot of output here, but you should be able to see that the same tests that were covered when we ran locally on the development machine show up in the debug logs here, along with the magic string `~~~ALL TESTS PASSED~~~`. This is the exact same code as before, just compiled and run on the STM32F103 rather than your desktop. We hope that the simplicity of this testing approach will help make adding support for new platforms as easy as possible.
  