What we're about

Welcome to the Cleveland Artificial Intelligence Group! This is for anyone interested in artificial intelligence, including applications and research. Meetings will focus on a combination of introductory surveys, research walkthroughs, and paired programming events. Students and practitioners of all skill levels are welcome!

Topics include classical AI, deep learning, natural language processing, computer vision, speech recognition, and reinforcement learning.

Check out our site (https://clevelandaigroup.github.io/)! It has links to everything else CAIG-related.

If you have an interest in presenting, have a topic you would like to see presented, or would like to host a future meeting, contact Jason or file an issue on our Github repo (https://github.com/ClevelandAIGroup/clevelandaigroup.github.io).

Upcoming events (5+)

Fast.ai Deep Learning - Lesson 9

StartMart/FlashStarts

Welcome back! This is a continuation of last year's Fast.ai study group. New members are welcome to attend, but are encouraged to review the material from Part 1 to make sure they have experience with previously covered material. Free and open to all. Parking and public transit options: http://startmart.us/parking-directions/ Street parking is free after 6pm. In this study group, we will be working through the 2018 fast.ai deep learning MOOC: Cutting Edge Deep Learning For Coders, Part 2. For more information, visit the course's site here: https://course.fast.ai/part2.html Each session we will use that week’s fast.ai lectures and course materials as a basis for discussion and learning. Everyone is invited to contribute their insights and questions. Prior to each session, attendees are expected to have watched the lecture for that week and worked on course assignments. This group will assume familiarity with the material from fast.ai Part 1. Agenda: 6 pm: food, drinks, networking 6:45 - 8:15 pm: fast.ai Deep Learning Lesson Lessons schedule: 8 - Monday, 1/14, StartMart, 6 - 8 pm 9 - Monday, 1/21, StartMart, 6 - 8 pm 10 - Monday, 1/28, TechElevator, 6 - 8 pm 11 - Monday, 2/04, TechElevator, 6 - 8 pm 12 - Monday, 2/11, TechElevator, 6 - 8 pm 13 - Monday, 2/18, TechElevator, 6 - 8 pm 14 - Monday, 2/25, StartMart, 6 - 8 pm Please note that we have no official connection with fast.ai. Topics (7 lessons, about 20 hours of video): - 8: Object detection - 9: Single shot multi-box detector (SSD) - 10: NLP classification and transfer learning - 11: Neural translation; Multi-modal learning - 12: DarkNet; Generative Adversarial Networks - 13: CycleGANs; Data ethics; Style transfer - 14: Super resolution; Segmentation with Unets Expect to spend 5-10 hours per week (i.e. 70 hours total person + GPU time) Here are links to course resources: fast.ai course home page: https://course.fast.ai/part2.html The course forum is here: http://forums.fast.ai/ The fast.ai GitHub containing all the course notebooks is here: https://github.com/fastai/fastai/tree/master/courses/dl1 The fastai Python package is here: https://github.com/fastai/fastai/tree/master/fastai AI6 https://nurture.ai/ai-saturdays CAIG: https://clevelandaigroup.github.io/ Hope to see you there, Cleveland Artificial Intelligence Group and AI6 @Brendan Mulcahy @Jason Mancuso @Vinod Pankajakshan @Michał Wojczulis @Michael Kudlaty

Fast.ai Deep Learning - Lesson 10

Tech Elevator

Welcome back! This is a continuation of last year's Fast.ai study group. New members are welcome to attend, but are encouraged to review the material from Part 1 to make sure they have experience with previously covered material. Free and open to all. In this study group, we will be working through the 2018 fast.ai deep learning MOOC: Cutting Edge Deep Learning For Coders, Part 2. For more information, visit the course's site here: https://course.fast.ai/part2.html Each session we will use that week’s fast.ai lectures and course materials as a basis for discussion and learning. Everyone is invited to contribute their insights and questions. Prior to each session, attendees are expected to have watched the lecture for that week and worked on course assignments. This group will assume familiarity with the material from fast.ai Part 1. Agenda: 6 pm: food, drinks, networking 6:30 - 8:00 pm: fast.ai Deep Learning Lesson Lessons schedule: 8 - Monday, 1/14, StartMart, 6 - 8 pm 9 - Monday, 1/21, StartMart, 6 - 8 pm 10 - Monday, 1/28, TechElevator, 6 - 8 pm 11 - Monday, 2/04, TechElevator, 6 - 8 pm 12 - Monday, 2/11, TechElevator, 6 - 8 pm 13 - Monday, 2/18, TechElevator, 6 - 8 pm 14 - Monday, 2/25, StartMart, 6 - 8 pm Please note that we have no official connection with fast.ai. Topics (7 lessons, about 20 hours of video): - 8: Object detection - 9: Single shot multi-box detector (SSD) - 10: NLP classification and transfer learning - 11: Neural translation; Multi-modal learning - 12: DarkNet; Generative Adversarial Networks - 13: CycleGANs; Data ethics; Style transfer - 14: Super resolution; Segmentation with Unets Expect to spend 5-10 hours per week (i.e. 70 hours total person + GPU time) Here are links to course resources: fast.ai course home page: https://course.fast.ai/part2.html The course forum is here: http://forums.fast.ai/ The fast.ai GitHub containing all the course notebooks is here: https://github.com/fastai/fastai/tree/master/courses/dl1 The fastai Python package is here: https://github.com/fastai/fastai/tree/master/fastai AI6 https://nurture.ai/ai-saturdays CAIG: https://clevelandaigroup.github.io/ Hope to see you there, Cleveland Artificial Intelligence Group and AI6 @Brendan Mulcahy @Jason Mancuso @Vinod Pankajakshan @Michał Wojczulis @Michael Kudlaty

Fast.ai Deep Learning - Lesson 11

Tech Elevator

Welcome back! This is a continuation of last year's Fast.ai study group. New members are welcome to attend, but are encouraged to review the material from Part 1 to make sure they have experience with previously covered material. Free and open to all. In this study group, we will be working through the 2018 fast.ai deep learning MOOC: Cutting Edge Deep Learning For Coders, Part 2. For more information, visit the course's site here: https://course.fast.ai/part2.html Each session we will use that week’s fast.ai lectures and course materials as a basis for discussion and learning. Everyone is invited to contribute their insights and questions. Prior to each session, attendees are expected to have watched the lecture for that week and worked on course assignments. This group will assume familiarity with the material from fast.ai Part 1. Agenda: 6 pm: food, drinks, networking 6:30 - 8:00 pm: fast.ai Deep Learning Lesson Lessons schedule: 8 - Monday, 1/14, StartMart, 6 - 8 pm 9 - Monday, 1/21, StartMart, 6 - 8 pm 10 - Monday, 1/28, TechElevator, 6 - 8 pm 11 - Monday, 2/04, TechElevator, 6 - 8 pm 12 - Monday, 2/11, TechElevator, 6 - 8 pm 13 - Monday, 2/18, TechElevator, 6 - 8 pm 14 - Monday, 2/25, StartMart, 6 - 8 pm Please note that we have no official connection with fast.ai. Topics (7 lessons, about 20 hours of video): - 8: Object detection - 9: Single shot multi-box detector (SSD) - 10: NLP classification and transfer learning - 11: Neural translation; Multi-modal learning - 12: DarkNet; Generative Adversarial Networks - 13: CycleGANs; Data ethics; Style transfer - 14: Super resolution; Segmentation with Unets Expect to spend 5-10 hours per week (i.e. 70 hours total person + GPU time) Here are links to course resources: fast.ai course home page: https://course.fast.ai/part2.html The course forum is here: http://forums.fast.ai/ The fast.ai GitHub containing all the course notebooks is here: https://github.com/fastai/fastai/tree/master/courses/dl1 The fastai Python package is here: https://github.com/fastai/fastai/tree/master/fastai AI6 https://nurture.ai/ai-saturdays CAIG: https://clevelandaigroup.github.io/ Hope to see you there, Cleveland Artificial Intelligence Group and AI6 @Brendan Mulcahy @Jason Mancuso @Vinod Pankajakshan @Michał Wojczulis @Michael Kudlaty

Fast.ai Deep Learning - Lesson 12

Tech Elevator

Welcome back! This is a continuation of last year's Fast.ai study group. New members are welcome to attend, but are encouraged to review the material from Part 1 to make sure they have experience with previously covered material. Free and open to all. In this study group, we will be working through the 2018 fast.ai deep learning MOOC: Cutting Edge Deep Learning For Coders, Part 2. For more information, visit the course's site here: https://course.fast.ai/part2.html Each session we will use that week’s fast.ai lectures and course materials as a basis for discussion and learning. Everyone is invited to contribute their insights and questions. Prior to each session, attendees are expected to have watched the lecture for that week and worked on course assignments. This group will assume familiarity with the material from fast.ai Part 1. Agenda: 6 pm: food, drinks, networking 6:30 - 8:00 pm: fast.ai Deep Learning Lesson Lessons schedule: 8 - Monday, 1/14, StartMart, 6 - 8 pm 9 - Monday, 1/21, StartMart, 6 - 8 pm 10 - Monday, 1/28, TechElevator, 6 - 8 pm 11 - Monday, 2/04, TechElevator, 6 - 8 pm 12 - Monday, 2/11, TechElevator, 6 - 8 pm 13 - Monday, 2/18, TechElevator, 6 - 8 pm 14 - Monday, 2/25, StartMart, 6 - 8 pm Please note that we have no official connection with fast.ai. Topics (7 lessons, about 20 hours of video): - 8: Object detection - 9: Single shot multi-box detector (SSD) - 10: NLP classification and transfer learning - 11: Neural translation; Multi-modal learning - 12: DarkNet; Generative Adversarial Networks - 13: CycleGANs; Data ethics; Style transfer - 14: Super resolution; Segmentation with Unets Expect to spend 5-10 hours per week (i.e. 70 hours total person + GPU time) Here are links to course resources: fast.ai course home page: https://course.fast.ai/part2.html The course forum is here: http://forums.fast.ai/ The fast.ai GitHub containing all the course notebooks is here: https://github.com/fastai/fastai/tree/master/courses/dl1 The fastai Python package is here: https://github.com/fastai/fastai/tree/master/fastai AI6 https://nurture.ai/ai-saturdays CAIG: https://clevelandaigroup.github.io/ Hope to see you there, Cleveland Artificial Intelligence Group and AI6 @Brendan Mulcahy @Jason Mancuso @Vinod Pankajakshan @Michał Wojczulis @Michael Kudlaty

Past events (26)

Fast.ai Deep Learning - Lesson 8

StartMart/FlashStarts

Photos (36)