Deep learning belongs to the field of artificial intelligence and machine learning,Image classification, speech recognition, language translation, medical diagnostics, robot and vehicle control are limited applications of deep learning. In this course we will cover the following topics. - Introduction to machine learning and relationship to deep learning. - The neural network architectures: feed-forward, convolutional, and recurrent. - Learning and adaptation - with or without supervision, back-propagation, training, validation... - Hyper-parameter optimization - Reinforcement-learning - Vehicular applications, case studies (YOLO algorithm, NVIDIA,...) In addition to lectures, there is a hands-on lab work using the existing training data sets, Tensor Flow a,d the ALPHA board that integrates TI System-on-Chip. As an alternative a GPU NVIDIA platform will be considered.