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"