TIES4911 Deep-Learning for Cognitive Computing for Developers
8-10 ECTS, Dr. Oleksiy Khriyenko
By any measure, the past few years have been landmark years for the discussion around Artificial Intelligence 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. The course aims to provide practical view to the domain of Cognitive Computing and Machine Intelligence. Students will be capable to design and build
own services and apps using cloud-based Cognitive Services of such big competing player in this field as IBM, Google, AWS and Microsoft. At the same time, students will learn how to build Machine Intelligence based solutions
using corresponding open-source software libraries (e.g. TensorFlow).
Resources
- Lectures: Lectures take place mainly in Ag B103 Auditorio 3 (except 2 firts lectures - in Ag C231.1). Extra possibility for remote participation is available via Zoom.
- Lecture 0 (19.01.2024, at 12:15-14:00, Ag C231.1, Zoom): Introduction to Cognitive Computing and Deep Learning
- Lecture 1 (19.01.2024, at 14:15-16:00, Ag C231.1, Zoom): Introduction to Neural Networks with TensorFlow (Linear Regression)
- Lecture 2 (25.01.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): Introduction to Neural Networks with TensorFlow (Classification)
- Lecture 3 (01.02.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): AutoEncoders and Convolutional Neural Networks (CNN)
- Lecture 4 (15.02.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): Computer Vision (part 1): Network Architectures and Transfer Learning
- Lecture 5 (22.02.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): Computer Vision (part 2): Object Detection
- Lecture 6 (29.02.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): Computer Vision (part 3): Image Segmentation and Neural Style Transfer
- Lecture 7 (07.03.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): Recurrent Neural Networks (RNNs) and Transformers
- Lecture 8 (21.03.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): Cognitive Computing Services
- Lecture 9 (04.04.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): Generative Models
- Lecture 10 (18.04.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom): Intro to Reinforcement Learning ( Coming soon )
- Tasks: Results are present during corresponding Demo sessions
- Task 0 (deadline 25.04.2024)
- Instructions
- results presentation at Demo-0 session (25.04.2024 and 02.05.2024, at 12:15-16:00)
- Task 1 (deadline 25.01.2024)
- Instructions
- results presentation at Demo-1 session (26.01.2024, at 12:15-16:00)
- Task 2 (deadline 01.02.2024)
- Instructions
- results presentation at Demo-2 session (02.02.2024, at 12:15-16:00)
- Task 3 (deadline 15.02.2024)
- Instructions
- results presentation at Demo-3 session (16.02.2024, at 12:15-16:00)
- Task 4 (deadline 29.02.2024)
- Instructions
- results presentation at Demo-4 session (01.03.2024, at 12:15-16:00)
- Task 5 (deadline 07.03.2024)
- Instructions
- results presentation at Demo-5 session (08.03.2024, at 12:15-16:00)
- Task 6 (deadline 21.03.2024)
- Instructions
- results presentation at Demo-6 session (22.03.2024, at 12:15-16:00)
- Task 7 (deadline 04.04.2024)
- Instructions
- results presentation at Demo-7 session (05.04.2024, at 12:15-16:00)
- Task 8 (deadline 18.04.2024)
- Instructions
- results presentation at Demo-8 session (19.04.2024, at 12:15-16:00)
- MiniProject (deadline 02.05.2024)
- Instructions
- results presentation at Demo-MiniProject session (03.05.2024, at 12:15-16:00). Extra time slot for presentation is reserved at Demo-MiniProject-Extra (10.05.2024, at 12:15-16:00).
- Demo sessions: Demo sessions take place in Ag C231.1. Extra possibility for remote participation is available via Zoom.
- Demo-1 (26.01.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Demo-2 (02.02.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Demo-3 (16.02.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Delivery of the Task 3
- Instructions
- results are sent by (end of 18.02.2024)
- Demo-4 (01.03.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Delivery of the Task 4
- Instructions
- results are sent by (end of 03.03.2024)
- Demo-5 (08.03.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Delivery of the Task 5
- Instructions
- results are sent by (end of 10.03.2024)
- Demo-6 (22.03.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Delivery of the Task 6
- Instructions
- results are sent by (end of 24.03.2024)
- Demo-7 (05.04.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Delivery of the Task 7
- Instructions
- results are sent by (end of 07.04.2024)
- Demo-8 (19.04.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Demo-0 part-1 (25.04.2024, at 12:15-16:00, Ag B103 Auditorio 3, Zoom)
- Demo-0 part-2 (02.05.2024, at 12:15-14:00, Ag B103 Auditorio 3, Zoom)
- Demo-MiniProject (03.05.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Delivery of the MiniProject
- Demo-MiniProject-extra (10.05.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Delivery of the MiniProject
- Demo-extra-1 (16.05.2024, at 12:15-16:00, Ag B103 Auditorio 3, Zoom)
- Delivery of the (optional) extra tasks
- Demo-extra-2 (17.05.2024, at 12:15-16:00, Ag C231.1, Zoom)
- Delivery of the (optional) extra tasks
Last update: 08.04.2024
