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--- ip:ws2021:lets_plaiy:student-documentation:game:start [2022/01/13 18:12] – lavjotbrar001
+++ ip:ws2021:lets_plaiy:student-documentation:game:start [2023/01/05 14:38] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
-====== The Game =====
+===== 6. The Game =====
+===6.1 Plaiytime ===
 Here's a fun activity whereby the students can understand object detection and training datasets better.
@@ Line 10: / Line 11: @@
 ^  The outline  ^
-===Inference===
+===6.2 Inference===
-Using the competitiveness and enthusiasm
+Along with the competitiveness and enthusiasm of the young students, they venture into the outdoors in search of finding the perfect shot. The experience of having them escape their comfort zones in an activity that teaches them about how machine learning datasets are trained, will certainly be beneficial to them in understanding how machine learning datasets are trained. This experience might inspire them in the future to return to the this field and work on more complex problems. The bottom line is that, statistically, children learn a lot better when they have a hands-on encounters and they enjoy doing so in the process.
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