image-classification

Classify images of CIFAR-10 dataset using TensorFlow.
The dataset consists of airplanes, dogs, cats, and other objects.
The dataset will need to be preprocessed, then train a simple convolutional neural network on all the samples.
We'll normalize the images, one-hot encode the labels, build a convolutional layer, max pool layer, and fully connected layer.
At then end, you'll see their predictions on the sample images.