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The MNIST dataset contains 60,000 training and 10,000 test grayscale images of handwritten digits, each 28×28 pixels. A complete MindSpore workflow loads this data, defines a feed-forward neural network, optimizes the parameters, and persists the trained weights. Data Loading Place the raw files under MNIST_Data/ with train/ and test/ subdirect ...

Creating Custom Datasets When working with standard datasets like MNIST, data is prepackaged and ready for use. However, for domain-specific applications, creating custom datasets becomes essential. The process involves mapping image paths to corresponding labels through a dedicated function that returns features and their associated labels. To ...