• What we'll do
Final week of the Machine Learning Crash Course!!
We are ending on a high with loads of content on Neural Networks and some case studies.
This week is an ON-SITE session to review any problems or questions from the last week and introduce the topics for the next week.
Host: Ming, Reg, Perusha
Agenda:
18:30 - 19:00 Food and drinks and networking
19:00-20:00 Neural Networks, Training Neural Networks, Multi-class NNs and Embeddings - Ming Gao
20:00 - 20:30 Demo and talk about object detection model using MS kinect and YOLO by Reg as discussed in week 2.
20:15 - 21:30 Assisted self-learning: use this time to catch up on the course with access to tutors. Ask the questions you need to ask. Work in groups. Talking about content is a really good way to learn.
We are all busy so making time for learning can be difficult. This is a guaranteed slot!
Give us feedback on whether you want any follow-up sessions such as a hackathon or projects session.
We are posting more information and updates on the slack too. Please use this as a forum for asking questions or sharing comments.
GitHub
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