message: Updated steps numbers from 13. 12 was duplicate
diff: @@ -301,7 +301,7 @@ successfully run.
  TF_LITE_MICRO_EXPECT_EQ(kTfLiteOk, invoke_status);
  ```
  -### 12. Obtain the output
  +### 13. Obtain the output
  The model's output tensor can be obtained by calling `output(0)` on the
  `tflite::MicroInterpreter`, where `0` represents the first (and only) output
  @@ -328,7 +328,7 @@ float value = output->data.f[0];
  TF_LITE_MICRO_EXPECT_NEAR(0., value, 0.05);
  ```
  -### 13. Run inference again
  +### 14. Run inference again
  The remainder of the code runs inference several more times. In each instance,
  we assign a value to the input tensor, invoke the interpreter, and read the
  @@ -351,7 +351,7 @@ value = output->data.f[0];
  TF_LITE_MICRO_EXPECT_NEAR(-0.959, value, 0.05);
  ```
  -### 14. Read the application code
  +### 15. Read the application code
  Once you have walked through this unit test, you should be able to understand
  the example's application code, located in
  