General Information
Objective: Study of the main deep learning methods and their applications.
Syllabus: Machine learning basics; Deep Feedforward Networks; Convolutional Neural Networks (CNN), Recurrent Neural Networks; Generative Adversarial Networks (GAN); Object Recognition; Natural Language Processing (NLP); Advanced models; Frameworks for deep learning and Practical Aspects; Applications of deep learning models for real-world problems.
Duration/credits: 45 hours/3 credits (12 weeks).
Lecturers: Heitor Silvério Lopes and André Eugenio Lazzaretti.
Editions: