Data:
{
"text": "The choice is up to you when you design your network.\n\nI'm aware of two ways of handling it:\n\n* 3D Volume: A video can be represented as a 3D volume where:\n\n - Width and height correspond to the spatial dimensions of a single frame.\n - Depth represents the number of frames (or channels depending on the data format).\n\n* Convolution Operation:\n\n - The conv3d layer applies a filter (kernel) across all three dimensions. This essentially captures spatial features (like edges or corners) across neighboring pixels within a frame and also extracts features across consecutive frames.",
"label": "r/deeplearning",
"dataType": "comment",
"communityName": "r/deeplearning",
"datetime": "2024-05-22",
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}