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Vector embeddings: Difference between revisions
→Example: Image Embedding with a Convolutional Neural Network
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===Example: Image Embedding with a Convolutional Neural Network=== | ===Example: Image Embedding with a Convolutional Neural Network=== | ||
[[File:image embedding with cnn1.png|400px|right]] | |||
In this example, raw images are represented as greyscale pixels, which correspond to a matrix of integer values ranging from 0 to 255, where 0 signifies black and 255 represents white. The matrix values define a vector embedding, with the first coordinate being the matrix's upper-left cell and the last coordinate corresponding to the lower-right matrix cell. | In this example, raw images are represented as greyscale pixels, which correspond to a matrix of integer values ranging from 0 to 255, where 0 signifies black and 255 represents white. The matrix values define a vector embedding, with the first coordinate being the matrix's upper-left cell and the last coordinate corresponding to the lower-right matrix cell. | ||