Machine Learning Fundamentals · 免费预览
数据编程
学习用基于示例拟合的参数化模型取代手工编写的规则。
1. Writing rules by hand
Writing rules by hand
2. The rule we can follow
The rule we can follow
3. What must be in place before training
What must be in place before training
4. Why this framing matters
Why this framing matters
5. What the learning algorithm produces
In the wake-word example, the dataset holds audio snippets and two-way labels. The model is a fixed architecture whose parameters are adjusted against the dataset. Which statement describes what the learning algorithm produces?
6. The three things to settle before training
Name the three items a designer must fix before a learning algorithm can run. Give them in the order this lesson presents them: ____, ____, and ____.