Transfer Learning in Autonomous Vehicles using Convolutional Networks
This thesis has investigated the potential benefits of using transfer learning when training convolu- tional neural networks for the task of autonomously driving a car. Three transfer learning networks were trained and compared with a conventionally trained convolutional neural network. The first conclusion is that training, as expected, is considerably quicker when using transfer learning. More s