A Review of Neural Networks
A Review of Deep Learning Architectures and Application of Transfer Learning for Image Classification
Abstract: Deep Learning is a vast field within computer science which has made tremendous progress in its application and abilities in the past decade. Some applications of deep learning include image recognition, language translation, neural audio effects, self-driving automobiles, and even cancer diagnosis. In this paper we will explore some foundational architectures of deep learning as well as their various applications. We will then go on to discuss our hands-on experience with transfer learning using ResNet, an architecture for the task of image classification.