Différences

Ci-dessous, les différences entre deux révisions de la page.

--- darknet_letters [2020/06/20 07:02] – [Quels matériels pour un apprentissage rapide ?] serge
+++ darknet_letters [2020/12/27 15:11] (Version actuelle) – serge
@@ Ligne 1: / Ligne 1: @@
 ====== Darknet Letters ======
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-**{{tagpage>bge|Blender Game Engine}}** ....  **{{tagpage>ia|Intelligence Artificielle}}**
+**{{tagpage>ia|Intelligence Artificielle}}**     **[[http://translate.google.com/translate?hl=&sl=auto&tl=en&u=https%3A%2F%2Fressources.labomedia.org%2Fdarknet_letters|English Version]]**
 </WRAP>
-<WRAP center round box 80% centeralign>
+<WRAP center round box 60% centeralign>
-{{media_02:shot_22.png?400|}} {{media_02:shot_17.png?400|}}
+**[[les_pages_intelligence_artificielle_en_details|Les Pages Intelligence Artificielle en détails]]**
+</WRAP>
+<WRAP center round box 60% centeralign>
+**{{tagpage>bge|Blender Game Engine}}**
+</WRAP>
+<WRAP center round box 60% centeralign>
+{{media_02:shot_22.png?400|}} {{media_02:shot_17.png?400|}}\\
 Le fond noir ne convient pas, il faut une video !
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@@ Ligne 291: / Ligne 298: @@
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   * Nuages
-{{::s_j_to_i_593.jpg?200|}}
+{{media_12:s_j_to_i_593.jpg?200|}}
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   * Plasma
-{{::s_j_to_i_537.jpg?200|}}
+{{media_12:s_j_to_i_537.jpg?200|}}
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   * nuage RGB clair
-{{:boney_m.png?200|}}
+{{media_04:boney_m.png?200|}}
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   * Très foncé en RGB
-{{::s_j_to_i_122.png?200|}}
+{{media_12:s_j_to_i_122.png?200|}}
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@@ Ligne 338: / Ligne 345: @@
   * **[[https://lambdalabs.com/blog/choosing-a-gpu-for-deep-learning/|Choosing the Best GPU for Deep Learning in 2020]]**
-    * RTX 2060 (6 GB): if you want to explore deep learning in your spare time.
+    * RTX 2060 (6 GB): if you want to explore deep learning in your spare time. 360€
     * RTX 2070 or 2080 (8 GB): if you are serious about deep learning, but your GPU budget is $600-800. Eight GB of VRAM can fit the majority of models.
     * RTX 2080 Ti (11 GB): if you are serious about deep learning and your GPU budget is ~$1,200. The RTX 2080 Ti is ~40% faster than the RTX 2080.
-    * Titan RTX and Quadro RTX 6000 (24 GB): if you are working on SOTA models extensively, but don't have budget for the future-proofing available with the RTX 8000.
+    * Titan RTX and Quadro RTX 6000 (24 GB): if you are working on SOTA models extensively, but don't have budget for the future-proofing available with the RTX 8000. 4000€
-    * Quadro RTX 8000 (48 GB): you are investing in the future and might even be lucky enough to research SOTA deep learning in 2020.
+    * Quadro RTX 8000 (48 GB): you are investing in the future and might even be lucky enough to research SOTA deep learning in 2020. 5500€
@@ Ligne 357: / Ligne 364: @@
 **Mais, en ce qui concerne l'Univers, je n'en ai pas encore acquis la certitude absolue."**
-{{tag> ia sb bge yolo_darknet deap_learning}}
+{{tag> ia sb bge yolo_darknet}}