What you will learn in the course:
- Assemble machine learning algorithms from scratch!
- Understand how ML works without relying on mysterious libraries
- Optimize your algorithms with advanced performance and memory usage profiling
- Use the low-level features of TensorFlow JS to supercharge your algorithms
- Grow a strong intuition of ML best practices
Course Short Overview:
- What is Machine Learning with JS?
- Algorithm Overview
- Onwards to TensorFlow JS,
- Applications of TensorFlow,
- Getting Started with Gradient Descent
- Gradient Descent with TensorFlow
- Increasing Performance with Vectored Solutions
- Gradient Descent Alterations
- Natural Binary Classification
- Multi-Value Classification
- Image Recognition In Action
- Performance Optimization
- Appendix Custom CSV Loader
Requirements for the course:
- Basic understanding of terminal and command line usage
- Ability to read basic math equations
- Who is the target audience for the course?
Course Update : 2018/2019
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