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7:35
YouTube
KnowHive
3.4 CNN Variants Demystified | Dilated, Depthwise & Transposed Convolutions | CNN Variants
Convolution isn’t one-size-fits-all. Modern Convolutional Neural Networks (CNNs) rely on multiple variants of convolution functions to achieve state-of-the-art results in image processing and deep learning. In this video, we break down Dilated Convolutions, Depthwise Convolutions, and Transposed Convolutions—explaining how each works and ...
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mathswithmuza on Instagram: "Trigonometric functions are mathematical relationships that connect the angles of a triangle with the ratios of its sides. The most common ones are sine, cosine, and tangent, which are defined using right triangles. For example, sine measures the ratio of the side opposite an angle to the hypotenuse, while cosine measures the ratio of the adjacent side to the hypotenuse. These functions are not limited to triangles; they are used to describe patterns of waves, oscill
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