Aryama/smai-a4-2024101043-mlp

AI model by Aryama

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Student model trained from scratch for roll number 2024101043. This is the p=0, epoch-100 model actually compared in Section 1.5, not a pretrained model. Architecture: [3072, 64, 32, 10]; hidden activation ReLU; Identity output logits; 199,082 parameters; float64. IOC applies ELU alpha=1 and nonnegative later weights, including the output. SGD uses lr 0.05, batch size 64, accumulation 1, without early stopping, momentum or weight decay. The original CIFAR-10 50k/10k split is used. Flatten images to 3072, convert to float64, divide by 255, subtract the saved 50k training mean and divide by the saved training scale. Do not use the separate NumPy 36k training statistics. Labels follow CIFAR's airplane/automobile/bird/cat/deer/dog/frog/horse/ship/truck order. Load numeric…

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  1. SMAI A4 MLP comparison checkpoint

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Model overview

Aryama/smai-a4-2024101043-mlp is a task-unspecified model repository published by Aryama on Hugging Face. The source reports the pytorch library.

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Library
pytorch
Recent downloads (30 days)
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Not gated by Hugging Face
Created
2026-11-02T06:35:18.000Z
Last modified
2026-11-02T06:35:32.000Z

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