Deep-learning for cognitive computing for developers
Max amount of FITech students: 20
By any measure, the past few years have been landmark years for the discussion around artificial intelligence (AI) and its potential impact on business and society. Being based on artificial intelligence, cognitive computing systems are “systems that learn at scale, reason with purpose and interact with humans naturally”. Cognitive computing solutions encompass machine learning, reasoning, natural language processing, deep learning, speech and vision, human-computer interaction and more.
This course aims to provide a practical view to the domain of cognitive computing and machine intelligence. Students will learn how to build solutions based on machine intelligence using corresponding open-source software libraries (e.g. TensorFlow). At the same time, students will be capable to design and build their own services and apps using cloud-based cognitive services of big competing players in this field, such as IBM, Google, Microsoft, etc.
Introduction to cognitive computing and deep learning and their application for computer vision, NLP and reinforcement learning domains.
All the study related materials are available on the course webpage.
- Lectures on Thursdays at 12:15–14 (not recorded).
- Demo sessions on Fridays at 12:15–14 or 14:15–16 are meant for tasks realisation delivery by students and discussions.
Exercises (100 %). Completion of the course tasks brings 8 credits. Extra 2 credits will be given for completion of an optional mini project.
You can get a digital badge after completing this course.
Deep Learning, tekoäly, koneoppiminen, AI, syväoppiminen, NLP, kognitiivinen tiedonkäsittely, Artificial Intelligence, Cognitive Computing, TensorFlow, Neural Networks
Further information about the course and studying
Contact person for applications
AI and machine learning,