readme: name: "TF Keras CIFAR-10 Model"
  framework: "TensorFlow"
  description: "A convolutional neural network trained on CIFAR-10 dataset"
  tags:
    - Classification
    - CIFAR-10
    - Convolutional Neural Network
  inputs:
    - "32 x 32 x 3 RGB images"
  architecture:
    - "Flatten Layer"
    - "Dense Layer with 128 neurons and a Leaky ReLU Activation"
    - "Dense Layer with 128 neurons and a Leaky ReLU Activation"
    - "Dense Layer with 10 neurons and a Sigmoid Activation"
  metrics:
    - "Optimizer: Adam"
    - "Loss Function: Sparse Categorical Crossentropy"
    - "Accuracy: 96.75%"
  datasets:
    - "CIFAR-10"
  outputs:
    - "10 labels"
  sample_usages:
    - "Classification of airborne and land-based images"