classification of images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. I preprocess the images and train a convolutional neural network on all the samples. I also normalized the images and the labels to be one-hot encoded. I build a convolutional, max pooling, dropout, and fully connected layers to get neural network's predictions on the sample images.
judeebene/image_classification
classification of images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. I preprocess the images and train a convolutional neural network on all the samples. I also normalized the images and the labels to be one-hot encoded. I build a convolutional, max pooling, dropout, and fully connected layers to get neural network's predictions on the sample images.
HTML