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Ever wondered why a feedforward neural network isn’t ideal for image classification? Here’s a quick explainer on its downsides and why convolutional layers make all the difference. Full tutorial is up on YouTube @TensorsAndTea. #ai #deeplearning #technology
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TikToktensorsandtea
Ever wondered why a feedforward neural network isn’t ideal for image classification? Here’s a quick explainer on its downsides and why convolutional layers make all the
Tensors & Tea(@tensorsandtea). original sound - Tensors & Tea. Ever wondered why a feedforward neural network isn’t ideal for image classification? Here’s a quick explainer on its downsides and why convolutional layers make all the difference. Full tutorial is up on YouTube @TensorsAndTea. #ai #deeplearning #technology
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Feed forward Neural networks
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久田 哲也🥊ボクシングコーチ【HISADA ReBorn Boxing】 on Instagram: "『なぜボクサーはパンチをよける事が出来るのか?』 ボクサーのパンチは人間の反応速度を上回る! 【参考・出典】 ※1 人間の反応速度(視覚刺激に対する平均反応時間) 出典: ・日本自動車研究所(JARI)「ヒトの反応時間に関する研究」 平均値:約0.18〜0.25秒(視覚刺激に対して) ⸻ ※2 パンチの速度 出典: ・Walilko, T. J. et al. (1983). The damaging punch. Journal of Sports Medicine and Physical Fitness. PubMed ID: 3936571 → 0.49mの距離を約0.1秒で移動(速度8.9 m/s) → エリートボクサー平均速度9.8 ± 2.3 m/s ⸻ 【補足】 距離が約50cmの場合、パンチはおよそ0.1秒で届く計算になります。 人間の反応速度(約0.2秒)では間に合わないため、ボクサーは「予測」と「パターン認知」によって動いています。 これを「フィードフォワー
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