Course outline: Fundamentals of Machine Learning for Creative Industry course, the course is led by Happy Finish and CCW Digital Maker Collective, supported by UAL Creative Computing Institute. 22 - 26 July 2019
Documentation from the Machine Learning for the Creative Industry - Creative Computing, AI intensive courses for UAL students, supported by CCI brilliantly led by Marco Marchesi from Happy Finish in collaboration with CCW UAL and Digital Maker Collective.
Course Address: Chelsea College of Arts, CCW Collaborative MakerSpace
16 John Islip St, Westminster, London, SW1P 4JU
Contact: Chris Follows, UAL CCW, Emerging Technologies Manager 07703887845
Monday 22nd July 10 – 6pm*
10:00 – 11:00 - Welcome/college info Intro CCI, Happy Finish, Team and Student intro
11:00 – 11:30 - Overview of the course
11:30 – 11:45 - Coffee
11:45 – 13:00 - What is AI
13:00 – 1400 – Break
14:00 – 15:00 - What is Machine Learning
15:00 – 15:45 - Set up collaborative environment, into to software & practical examples
15:45 – 16:00 - Break
16:00 – 17:00 - Machine Learning Ethics (Perfect Mum) & AI, Intellectual Property with Roxanne Peters
17:00 – 18:00 - Collaboration Lab time
10:15 – 11:40 - What are Neural Networks?
11:40 – 12:00 – Break
12:00 – 13:00 - What are Neural Networks? - Using Google Colaboratory
13:00 – 14:00 – Lunch (not provided)
14:00 – 15:00 - Overview of Coding Frameworks & Languages Python, C++, Javascript, Swift, TensorFlow vs PyTorch
15:00 – 16:00 - Industry Guest Artist - Andy Lomas
16:00 – 18:00 - Break & Collaboration Lab time
10:00 – 10:20 – Energizer
10:20 – 11:30 - Intro Deep Learning
11:30 – 11:45 – Break
11:45 – 13:00 - Deep Learning experiments
13:00 – 1400 – Lunch (not provided)
14:00 – 15:00 - Deep Learning projects
15:00 – 16:00 – About Data Sets
16:00 – 17:00 - Break & Review Q&A
17:00 – 18:00 - Collaboration Lab time
10:00 – 10:20 – Energizer
10:20 – 10:50 - Machine Learning for Games
10:50 – 11:30 - Intro Generative Adversarial Network GAN
11:30 – 11:45 – Break
11:45 – 13:00 - GANs for Image generation
13:00 – 1400 – Lunch (not provided)
14:00 – 15:00 - 3D & Video generation - Deep Fakes
15:00 – 16:00 - “The future is synthetic” Victor Riparbelli CEO - Synthesia
16:00 – 18:00 - Break & Collaboration Lab time
10:00 – 10:20 – Energizer
10:20 – 11:30 - Machine Learning for Music & Sound
11:30 – 11:45 – Break
11:45 – 13:00 - Machine Learning for Language Generation - Alumni Project
13:00 – 1400 – Lunch (not provided)
14:00 – 14:30 - Jobs with AI Artificial Intelligence
14:30 – 15:20 - Future of AI
15:20 – 15:40 - What is AI? (revisited)
15:40 – 16:00 - De-brief – Q&A - Reflection - Feedback forms
16:00 – 17:00 - What Next plans for future collaboration - possible projects?
*Programme is subject to change
Course Team:
DMC are supporting one of the intensive courses across UAL colleges. Learn the basics of Creative Computing in four different areas from industry experts.
The new UAL Creative Computing Institute (UAL CCI) Institute supports interdisciplinary teaching, research and knowledge exchange at the intersection of creativity and computational technologies. The Institute works across domains such as machine learning and artificial intelligence, alongside exploring how the contemporary world is being defined through human computer interaction and social platforms.
About Happy Finish: Happy Finish is a global creative production collective making new things in new ways. Their multi- disciplined artists bring fresh content and products to life for our clients by combining creative techniques with world-class production expertise. They specialise in cross-platform services including Retouch, CGI, XR, AI and creative technology consultancy to craft experiences for some of the biggest brands and agencies in the world.
About the Digital Maker Collective: The Digital Maker Collective (DMC) are a voluntary, informal Research & Development (R&D) group made up of University of the Arts London staff, students, alumni who share common goals in exploring digital & emerging technologies in the context of arts practice, education, society and the creative industries.
This course Delivered by Happy Finish in partnership with the Digital Maker Collective will teach the fundamentals of what AI, Machine Learning and Deep Learning are and how machines can help the future generations of designers, artists and content creators to enhance their creativity.
Participants will play with the tools used now in academia and industry to build Machine Learning applications: PyTorch, TensorFlow and Python. It will be explained how to choose the correct tools based on the applications, how to collect data and train the systems that are used in Creative AI today.
We will play with code (but previous code experience is not necessary) using interactive tools and analysing existing open source projects. The workshop will contain lectures, group sessions, screenings, brainstorming sessions, QA, prototyping, seminars with companies, startups and universities involved in Creative AI.
