: The final decision-maker that takes all the extracted features to classify the image as a specific object, like a "cat" or "car". Convolutional Neural Networks & Computer Vision - KNIME
: Introduces non-linearity by zeroing out negative values, mimicking how biological neurons fire only above certain thresholds. xcnnpz.png
: Use mathematical "kernels" to detect low-level features like edges, lines, and dark spots. : The final decision-maker that takes all the
: Downsample the data to reduce its size, making the model faster and less prone to overfitting. xcnnpz.png