Create README.md

README.md

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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"