ml/configs/cnn.yaml

# CNN from Scratch Configuration
# Inherits from base.yaml

model:
  name: "cnn"
  architecture:
    conv_channels: [32, 64, 128, 256, 512]
    kernel_size: 3
    padding: 1
    pool_size: 2
    dropout: 0.4
    batch_norm: true
    use_global_avg_pool: true

training:
  batch_size: 32
  num_epochs: 50
  learning_rate: 0.001
  weight_decay: 0.0001
  optimizer: "adam"
  scheduler: "cosine"
  early_stopping_patience: 10