008 Full-cycle Deep Learning projects (Lecture 4)
steps of an ML project/application select problem get data design model train model test model deploy(部署) maintain 在选择问题应该考虑的因素： 兴趣 数据 领域知识 实用性 可行性 Get data 搜集数据的时间大约1-2天，以便快速循环迭代。 Keep clear notes on
相关文章
- 1. [cv231n] Lecture 8 | Deep Learning Software
- 2. Lecture 4：Feasibility of Learning
- 3. CS231n Lecture 15 | Efficient Methods and Hardware for Deep Learning
- 4. NLP with Deep Learning Lecture 2 笔记
- 5. deep learning with pytorch——4
- 6. Structuring Machine Learning Projects-Week2
- 7. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 8. COURSE 3 Structuring Machine Learning Projects
- 9. Machine Learning——Lecture 6
- 10. Deep Learning
- 更多相关文章...
- • SVN 安装 - SVN 教程
- • C# 哈希表（Hashtable） - C#教程
- • Java Agent入门实战（一）-Instrumentation介绍与使用
- • Java Agent入门实战（三）-JVM Attach原理与使用
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. [cv231n] Lecture 8 | Deep Learning Software
- 2. Lecture 4：Feasibility of Learning
- 3. CS231n Lecture 15 | Efficient Methods and Hardware for Deep Learning
- 4. NLP with Deep Learning Lecture 2 笔记
- 5. deep learning with pytorch——4
- 6. Structuring Machine Learning Projects-Week2
- 7. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 8. COURSE 3 Structuring Machine Learning Projects
- 9. Machine Learning——Lecture 6
- 10. Deep Learning