Image Classification

In this project, the images from the CIFAR-10 dataset were classified.The dataset consists of images such as airplanes, dogs, cats, and other objects.

Further Steps involved:

• The given dataset was preprocessed.
• Training of convolutional neural network on all the samples.
• The images were normalized and the labels were to be one-hot encoded
• The Building of a convolutional layer, max pool layer, and fully connected layer.
• Finally, the predictions were observed on the sample images.

project url: https://github.com/aditya-paliwal/DLND-Project_2-Image_Classification_Using_RNN