Join us for a multi-session learning series of computer vision with deep learning design patterns! This 5/7 session is an overview of the learning series: go over what materials are available and how we will study together. Andrew Ferlitsch from Google Cloud AI team is writing a book called "Deep Learning Design Patterns". He will be providing free video presentations and Colab exercises to help us study deep learning with TensorFlow 2.x (tf.Keras). Margaret Maynard-Reid is going to be a co-instructor of these learning series. Instructors bio Margaret Maynard-Reid is a Google Developer Expert (GDE) for Machine Learning. She is a contributor to the open-source ML framework TensorFlow. She writes blog posts and speaks at conferences about on-device ML, computer vision and TensorFlow. She is passionate about community building and helping others get started with AI/ML. She leads "GDG Seattle" and "Seattle Data/Analytics/ML". Deep Learning Design Patterns - It's practical hands-on workshop style besides reading / videos. From these Study Jam series you will learn:
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Andrew Ferlitsch is an expert on computer vision and deep learning at Google Cloud AI Developer Relations, and formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he has 115 issued US patents and worked on emerging technologies: telepresence, augmented reality, digital signage, and autonomous vehicles. Currently in his present role, he reaches out to developer communities, corporations and universities, teaching Deep Learning and evangelizing Google's AI technologies.
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This is Andy's book that overs beginner, intermediate and advanced-level materials on deep learning design patterns.
- Materials are catered towards job roles instead of academia.
- the fundamentals of computer vision and deep learning (beginner)
- deep learning design patterns (beginner)
- how to implement research papers (intermediate)
- AutoML under the hood (intermediate)
- large-scale model architecture & training (advanced)