Image as pixels

The video tutorial explains how computers perceive images using numbers, focusing on pixel values and the RGB color model. It describes how images are represented in grayscale and how these representations are prepared for neural network input by flattening. The structure of neural networks, including input, hidden, and output layers, is discussed, highlighting how they interpret image data to identify digits. The tutorial aims to provide a foundational understanding of image processing and neural networks.

How does a neural network determine the output value for a given image?

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What are hidden layers in a neural network, and what is their function?

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