深度神经网络优化（一）- Practical aspects of Deep Learning
从本篇开始将是 deeplearning.ai的第二门课程，深度神经网络的性能优化 Setting up your Machine Learning Application Train/Dev/Test sets 在机器学习中我们也讲过关于数据集划分的问题，通常我们会选择将我们收集到的数据划分为训练集，验证集（Dev），测试集，训练集用于模型训练，验证集用于超参数的设定以及模型问题的检验，测试集用
相关文章
- 1. [改善深度神经网络] Practical aspects of deep learning习题解析
- 2. 007 Practical aspects of Deep Learning
- 3. Deep learning II - I Practical aspects of deep learning - Normalizing inputs 输入归一化
- 4. Deep learning II - I Practical aspects of deep learning - Regularizing your neural network 神经网络范数正则化
- 5. [coursera/ImprovingDL/week1]Practical aspects of Deep Learning(summary&question)
- 6. 【吴恩达深度学习笔记】2.1 Practical aspects of Deep Learning
- 7. Deep learning II - I Practical aspects of deep learning - Vanishing/Exploring gradients 梯度消失/爆炸
- 8. Deep learning II - I Practical aspects of deep learning - 正则化如何较少过拟合
- 9. Deep learning II - I Practical aspects of deep learning - Dropout regularization 随机失活正则化
- 10. Deep learning II - I Practical aspects of deep learning - Understanding dropout 理解随机失活正则化
- 更多相关文章...
- • SEO - 搜索引擎优化 - 网站建设指南
- • 网络协议是什么？ - TCP/IP教程
- • 算法总结-深度优先算法
- • 算法总结-广度优先算法
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。
最新文章
- 1. 升级Gradle后报错Gradle‘s dependency cache may be corrupt (this sometimes occurs
- 2. Smarter, Not Harder
- 3. mac-2019-react-native 本地环境搭建(xcode-11.1和android studio3.5.2中Genymotion2.12.1 和VirtualBox-5.2.34 )
- 4. 查看文件中关键字前后几行的内容
- 5. XXE萌新进阶全攻略
- 6. Installation failed due to: ‘Connection refused: connect‘安卓studio端口占用
- 7. zabbix5.0通过agent监控winserve12
- 8. IT行业UI前景、潜力如何？
- 9. Mac Swig 3.0.12 安装
- 10. Windows上FreeRDP-WebConnect是一个开源HTML5代理，它提供对使用RDP的任何Windows服务器和工作站的Web访问
欢迎关注本站公众号,获取更多信息
相关文章
- 1. [改善深度神经网络] Practical aspects of deep learning习题解析
- 2. 007 Practical aspects of Deep Learning
- 3. Deep learning II - I Practical aspects of deep learning - Normalizing inputs 输入归一化
- 4. Deep learning II - I Practical aspects of deep learning - Regularizing your neural network 神经网络范数正则化
- 5. [coursera/ImprovingDL/week1]Practical aspects of Deep Learning(summary&question)
- 6. 【吴恩达深度学习笔记】2.1 Practical aspects of Deep Learning
- 7. Deep learning II - I Practical aspects of deep learning - Vanishing/Exploring gradients 梯度消失/爆炸
- 8. Deep learning II - I Practical aspects of deep learning - 正则化如何较少过拟合
- 9. Deep learning II - I Practical aspects of deep learning - Dropout regularization 随机失活正则化
- 10. Deep learning II - I Practical aspects of deep learning - Understanding dropout 理解随机失活正则化