IntroductionMachine LearningDeep LearningDeep Learning Versus Machine LearningHow Deep Learning WorksDeep Learning ModelObtaining InformationPreparation of DataTrainingParameter TurningDeep Learning TechniquesConvolutional Neural NetworksDeep Belief NetworksAutoencoder/Stack AutoencoderDeep Learning’s Advantages and DisadvantagesDeep Learning in ActionApplications of Deep LearningVirtual AssistantsVision for Driverless and Autonomous CarsService-Oriented Chat BotsTranslationsFacial RecognitionShopping and EntertainmentMedical Field and PharmaceuticalsConclusion