Metadata update and fixes to internallinkerrors

docs/en/advanced/neural_networks.md

@@ -7,7 +7,7 @@ This is an experimental module.
 Use at your own risk.
 :::
 
-The Multicopter Neural Network (NN) module  ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) is an example module that allows you to experiment with using a pre-trained neural network on PX4.
+The Multicopter Neural Network (NN) module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) is an example module that allows you to experiment with using a pre-trained neural network on PX4.
 It might be used, for example, to experiment with controllers for non-traditional drone morphologies, computer vision tasks, and so on.
 
 The module integrates a pre-trained neural network based on the [TensorFlow Lite Micro (TFLM)](../advanced/tflm.md) module.
@@ -61,7 +61,6 @@ In the [controller diagram](../flight_stack/controller_diagrams.md) you can see
 We hook into this flow by subscribing to messages at particular points, using our neural network to calculate outputs, and then publishing them into the next point in the flow.
 We also need to stop the module publishing the topic to be replaced, which is covered in [Neural Network Module: System Integration](nn_module_utilities.md)
 
-
 ### Input
 
 The input can be changed to whatever you want.

docs/en/advanced/nn_module_utilities.md

@@ -1,6 +1,6 @@
 # Neural Network Module: System Integration
 
-The neural control module ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) implements an end-to-end controller utilizing neural networks.
+The neural control module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) implements an end-to-end controller utilizing neural networks.
 
 The parts of the module directly concerned with generating the code for the trained neural network and integrating it into the module are covered in [TensorFlow Lite Micro (TFLM)](../advanced/tflm.md).
 This page covers the changes that were made to integrate the module into PX4, both within the module, and in larger system configuration.
@@ -14,7 +14,7 @@ For more information see the developer [Getting Started](../dev_setup/getting_st
 
 ## Autostart
 
-A line to autostart the [mc_nn_control](../modules/modules_controller.md#mc_nn_control) module has been added in the [`ROMFS/px4fmu_common/init.d/rc.mc_apps`](https://github.com/PX4/PX4-Autopilot/blob/main/ROMFS/px4fmu_common/init.d/rc.mc_apps) startup script.
+A line to autostart the [mc_nn_control](../modules/modules_controller.md#mc-nn-control) module has been added in the [`ROMFS/px4fmu_common/init.d/rc.mc_apps`](https://github.com/PX4/PX4-Autopilot/blob/main/ROMFS/px4fmu_common/init.d/rc.mc_apps) startup script.
 
 It checks whether the module is included by looking for the parameter [MC_NN_EN](../advanced_config/parameter_reference.md#MC_NN_EN).
 If this is set to `1` (the default value), the module will be started when booting PX4.

docs/en/advanced/tflm.md

@@ -1,10 +1,10 @@
 # TensorFlow Lite Micro (TFLM)
 
-The PX4 [Multicopter Neural Network](advanced/neural_networks.md) module ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) integrates a neural network that uses the [TensorFlow Lite Micro (TFLM)](https://github.com/tensorflow/tflite-micro) inference library.
+The PX4 [Multicopter Neural Network](advanced/neural_networks.md) module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) integrates a neural network that uses the [TensorFlow Lite Micro (TFLM)](https://github.com/tensorflow/tflite-micro) inference library.
 
 This is a mature inference library intended for use on embedded devices, and is hence a suitable choice for PX4.
 
-This guide explains how the TFLM library is integrated into the [mc_nn_control](../modules/modules_controller.md#mc_nn_control) module, and the changes you would have to make to use it for your own neural network.
+This guide explains how the TFLM library is integrated into the [mc_nn_control](../modules/modules_controller.md#mc-nn-control) module, and the changes you would have to make to use it for your own neural network.
 
 ::: tip
 For more information, see the [TFLM guide](https://ai.google.dev/edge/litert/microcontrollers/get_started).