Eureka! Institutional Repository

In this thesis we will talk about machine learning and how it has helped and continues to help in computer science. At first we will refer to autonomous driving, the benefits that it has and the levels of autonomous driving. Then there will be an introduction to machine learning, the following process, we will mention the categories of machine learning and we will deal with one of them, the Deep Learning one, which was used for the development of this thesis. We will go on with parallel processing, how it helps in speeding up calculations and we will mention the two parallel processing libraries that were used, CUDA and Tensorflow. The fourth chapter will describe the data set that was used, and the convolutional neural network SqueezeDet, which detects objects in image data. Finally, we will look at the results obtained from the completion of this thesis and the conclusions drawn during it’s preparation