Machine Learning in JS
Charlie Gerard
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Key Takeaways
By participating along with us in the workshop, you'll learn:
- Machine Learning Fundamentals
- Use pre-trained models and understand transfer learning
- Create projects with image and audio recognition
- Create custom models and split training data between training and testing sets
Is This Workshop for Me?
Front-end developers with a basic understanding of JavaScript, who would like to expand their knowledge of what is possible to do with front-end technologies, and who would like to learn more about machine learning while using a programming language they’re already familiar with.
Workshop Details
By the end of this course, developers will have a deeper understanding of machine learning, what is currently possible in JavaScript, and create 3 projects exploring TensorFlow.js features.
Any Prerequisites?
- No prior knowledge of machine learning needed
- Basic front-end knowledge and understanding of JavaScript (syntax, data structures, working with APIs)
- Any operating system and code editor should do
Attend Online Live and in Full HD
Join-In Person from Downtown Minneapolis
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Machine Learning in JS
Event Details
What
- 2 Full Day Workshop Sessions
- Replay Videos (available immediately)
When
- April 18 to 19, 2024 - 9:30am to 5:30pm Central Daylight Time
Where
- Option 1: Attend online on our full HD live stream
- Option 2: Attend in-person at HQ in Minneapolis, MN
Daily Schedule
Day 1
- 9:30AMIntroduction to Machine Learning
- 10:30AMUsing Pre-Trained Models
- 12:00PMLunch
- 1:00PMSetting up TensorFlow.js
- 2:00PMImage Recognition Project
Day 2
- 9:30AMIntroduction to Transfer Learning
- 10:30AMImage and Sound Recognition Project
- 12:00PMLunch
- 1:00PMMaking Your Own Model Project
Your (Awesome) Instructor
Charlie Gerard
Charlie Gerard is a staff engineer at Socket, published author,and maker. Charlie is passionate about researching human-computer interaction and creative technology.
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