Basic CNN model using TensorFlow and Keras to classify images from the CIFAR-10 dataset.

Key Points

Import necessary libraries: TensorFlow for numerical computations and Keras for building the model.
Load and preprocess data: Normalize pixel values and convert labels to categorical format.
Create the model: Define convolutional, pooling, flattening, and dense layers.
Compile the model: Specify loss function, optimizer, and metrics.
Train the model: Fit the model to the training data with appropriate epochs and batch size.