{
  "model_type": "MLP",
  "widths": [
    3072,
    128,
    10
  ],
  "hidden_activation": "relu",
  "output_activation": "identity (logits; softmax gives class probabilities)",
  "weights": "weights.npz: W0, b0, W1, b1, ...; logits = h W + b with W of shape (n_in, n_out)",
  "preprocessing": "flatten the 32x32x3 uint8 image to 3072 values (row-major, RGB last), divide by 255, subtract preprocessing.npz['mean'] and divide by preprocessing.npz['std']",
  "classes": [
    "airplane",
    "automobile",
    "bird",
    "cat",
    "deer",
    "dog",
    "frog",
    "horse",
    "ship",
    "truck"
  ],
  "training": {
    "data": "uoft-cs/cifar10 train part (50,000 images), true labels",
    "optimizer": "SGD",
    "loss": "cross-entropy",
    "seed": 1076,
    "lr": 0.01,
    "batch_size": 64,
    "grad_accumulation_steps": 1,
    "epochs": 100
  },
  "results": {
    "test_acc": 0.4833,
    "test_loss": 2.6108671875,
    "train_acc": 0.90612,
    "train_loss": 0.3009627978515625
  }
}