text: 
  GUIDES_MASTER = {
      'path': 'guides/',
      'title': 'Developer guides',
      'toc': True,
      'children': [
          {
              'path': 'functional_api',
              'title': 'The Functional API',
          },
          {
              'path': 'sequential_model',
              'title': 'The Sequential model',
          },
          {
              'path': 'making_new_layers_and_models_via_subclassing',
              'title': 'Making new Layers & Models via subclassing',
          },
          {
              'path': 'training_with_built_in_methods',
              'title': 'Training & evaluation with the built-in methods',
          },
          {
              'path': 'customizing_what_happens_in_fit',
              'title': 'Customizing what happens in `fit()`',
          },
          {
              'path': 'writing_a_training_loop_from_scratch',
              'title': 'Writing a training loop from scratch',
          },
          {
              'path': 'serialization_and_saving',
              'title': 'Serialization & saving',
          },
          {
              'path': 'writing_your_own_callbacks',
              'title': 'Writing your own Callbacks',
          },
          # {
          #     'path': 'writing_your_own_metrics',
          #     'title': 'Writing your own Metrics',
          # },
          # {
          #     'path': 'writing_your_own_losses',
          #     'title': 'Writing your own Losses',
          # },
          {
              'path': 'preprocessing_layers',
              'title': 'Working with preprocessing Layers',
          },
          {
              'path': 'working_with_rnns',
              'title': 'Working with recurrent neural networks',
          },
          {
              'path': 'understanding_masking_and_padding',
              'title': 'Understanding masking & padding',
          },
          {
              'path': 'distributed_training',
              'title': 'Multi-GPU & distributed training',
          },
          # {
          #     'path': 'tpu_training',
          #     'title': 'Training Keras models on TPU',
          # },
          {
              'path': 'transfer_learning',
              'title': 'Transfer learning & fine-tuning',
          },
          # {
          #     'path': 'hyperparameter_optimization',
          #     'title': 'Hyperparameter optimization',
          # },
          {
              'path': 'training_keras_models_on_cloud',
              'title': 'Training Keras models with TensorFlow Cloud',
          },
  
          # TODO: mixed precision
      ]
  }
  