Consider the convolution example from the video "Deep Learning - Object Recognition." (around 10:00) Repeat this method

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answerhappygod
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Consider the convolution example from the video "Deep Learning - Object Recognition." (around 10:00) Repeat this method

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Consider The Convolution Example From The Video Deep Learning Object Recognition Around 10 00 Repeat This Method 1
Consider The Convolution Example From The Video Deep Learning Object Recognition Around 10 00 Repeat This Method 1 (91.13 KiB) Viewed 50 times
Consider the convolution example from the video "Deep Learning - Object Recognition." (around 10:00) Repeat this method with the following matrices as in the video, and produce the resulting convoluted feature on your own. Report the results of the selected elements below from your convoluted figure (3x3 matrix). 101 -O0O- 1 10 1 0 1 0 OF OT 101 0 0 1 TOTO - 10 11 11 11 0 1 10 10 1 0 0 0 1 1 Convoluted figure (Matrix - should be 3x3) Row 2, Column 2. (center) Convoluted figure (Matrix - should be 3x3) Row 1, Column 1 Convoluted figure (Matrix - should be 3x3) Row 3, Column 2. 1 0 0 ◆ 4 +
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