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  1. ---
  2. # Meta Data
  3. Title: Test Set for Mark Down Reference Linking
  4. Summary: Test Set for Mark Down Reference Linking
  5. Author: Royi
  6.  
  7. # Settings
  8. settings:
  9. enable_uml: true
  10. image_path_conversion: base64
  11. markdown_extensions:
  12. - markdown.extensions.footnotes
  13. - markdown.extensions.fenced_code
  14. - markdown.extensions.tables
  15. - markdown.extensions.admonition
  16. - markdown.extensions.toc:
  17. title: Table of Contents
  18. toc_depth: 2-3
  19. - pymdownx.arithmatex:
  20. generic: true
  21. smart_dollar: false
  22. allow_css_overrides: true
  23. ---
  24.  
  25.  
  26. # Test Set for Mark Down Reference Linking
  27.  
  28. [TOC]
  29.  
  30. ## Scope of the Document
  31.  
  32. Just some text as a test set.
  33.  
  34.  
  35. ### Some ASCII Graphics
  36.  
  37. Laser beam.
  38.  
  39. ```
  40.  
  41. Target
  42.  
  43. +--------------------------------+
  44. | |
  45. | |
  46. | |
  47. | |
  48. | -- |
  49. | -/ |
  50. | --/ |
  51. | -/ |
  52. | --/ |
  53. +--------------------------------+
  54. -/
  55. --/
  56. <-------------------/----------------------->
  57. --/
  58. -/
  59. --/
  60. +--------/
  61. | -/|
  62. | -/ |
  63. | | Laser Beam
  64. +------+
  65. ```
  66.  
  67. ## Some List
  68.  
  69. * Train Set - Set used for training the ML model (For instance optimize the model parameters [For Parametric Model])
  70. * Test Set - Set used to evaluate results.
  71. * Prediction - Prediction of velocity given a measurement.
  72.  
  73. Implicit / Explicit Assumptions[^001]:
  74.  
  75. * The laser beam is eye safe.
  76. * Just some information[^002].
  77.  
  78. ### Some Existing Links
  79.  
  80. The results are pretty good in [RMSE][001] / [MAE][002].
  81.  
  82.  
  83. ## Some Text to Test
  84.  
  85. Free text, **bold text**, *italic text*, __bold text__ or _italic text_.
  86. Also, `Mono Spaced Text` and regular boring text.
  87.  
  88. Some [Link](https://www.wikipedia.com) and [Reference Link][1].
  89.  
  90. Some list...
  91.  
  92. * Examining Deep Learning (DL) Based Methods
  93. Always some text on Deep Learning.
  94. * Hyper Parameters
  95. Adding an exhaustive search of the optimal Hyper Parameters.
  96.  
  97.  
  98. [001]: https://en.wikipedia.org/wiki/Root-mean-square_deviation "Wikipedia - RMSE"
  99. [002]: https://en.wikipedia.org/wiki/Mean_absolute_error "Wikipedia - MAE"
  100.  
  101.  
  102.  
  103. [^001]: Just a simple assumption reference.
  104. [^002]: Just another simple assumption reference.
  105.  
  106.  
  107.  
  108.  
  109. [1]: https://www.wikipedia.com
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