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"