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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" |