* Read the header of the dataset file * * @param {Buffer} buffer * @param {number} headerLength * * @returns {number[]} MNIST data header values
(buffer, headerLength)
| 43 | * @returns {number[]} MNIST data header values |
| 44 | */ |
| 45 | function loadHeaderValues(buffer, headerLength) { |
| 46 | const headerValues = []; |
| 47 | for (let i = 0; i < headerLength / 4; i++) { |
| 48 | // Header data is stored in-order (aka big-endian) |
| 49 | headerValues[i] = buffer.readUInt32BE(i * 4); |
| 50 | } |
| 51 | return headerValues; |
| 52 | } |
| 53 | |
| 54 | /** |
| 55 | * Load the images from the given file and normalize the data to 0-1 range. |