Pixels as Numbers: RGB to Greyscale with Weighted Luminance
All lessons
- Pixels as Numbers: RGB to Greyscale with Weighted LuminanceFree
- Brightness, Contrast & the Histogram (FREQUENCY, with a Chart) Pro
- Thresholding & Binary Masks: Separating an Object from the Background Pro
- 3×3 Convolution with SUMPRODUCT: a Gaussian Blur Pro
- Sharpening & Edge Detection: Sobel Gx, Gy and Gradient Magnitude Pro
- Padding & Stride: the Output-Size Formula and a Stride-2 Convolution Pro
- Max & Average Pooling: Shrinking Feature Maps Pro
- A Tiny CNN by Hand: Conv → ReLU → Pool → Score Pro
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