nn_convfilter.jpg
This image is a diagram illustrating a mathematical operation known as convolution, commonly used in computer vision and deep learning. The diagram flows from left to right, showing how an input grid interacts with a filter (kernel) to produce an output value.

On the far left is a large grid labeled "Input." This grid consists of 6 rows and 6 columns containing binary numbers (0s and 1s).
The top three rows are:
Row 1: 1, 0, 1, 0, 1, 0
Row 2: 0, 1, 1, 0, 1, 1
Row 3: 1, 0, 1, 0, 1, 0
The bottom three rows are:
Row 4: 1, 0, 1, 1, 1, 0
Row 5: 0, 1, 1, 0, 1, 1
Row 6: 1, 0, 1, 0, 1, 0

A thick blue border highlights the top-left 3x3 section of this Input grid. A blue arrow points from this highlighted area to a smaller grid in the center labeled "Image patch (Local receptive field)." This patch contains exactly the numbers from that highlighted section:
Row 1: 1, 0, 1
Row 2: 0, 1, 1
Row 3: 1, 0, 1

To the right of this image patch is a multiplication symbol (*). Next to it is a 3x3 grid with a light purple background labeled "Kernel (filter)." The numbers in this kernel are sequential integers from 1 to 9:
Row 1: 1, 2, 3
Row 2: 4, 5, 6
Row 3: 7, 8, 9

A blue arrow points from the Kernel grid to the final section on the right, labeled "Output." This is a 4x4 grid of empty squares. However, the top-left square contains the number 31 inside a blue border. This number represents the result of multiplying the corresponding numbers in the Image patch and the Kernel and summing them up (specifically: 1*1 + 0*2 + 1*3 + 0*4 + 1*5 + 1*6 + 1*7 + 0*8 + 1*9 = 31).

In the top right corner of the image, there is small text that reads "iq.opengenus.org".
This description was generated automatically. Please feel free to ask questions if you have further questions about the nature of the image or its meaning within the presentation.