| 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" |