Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization:我从不断完善的深度神经网络进行编程作业的解决方案

【文件属性】：

文件名称：Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization:我从不断完善的深度神经网络进行编程作业的解决方案

文件大小：2.33MB

文件格式：ZIP

更新时间：2024-05-28 09:04:58

deep-learning optimization regularization hyperparameter-tuning JupyterNotebook

deeplearning.ai的课程第二门 第1周-深度学习的实践方面 第2周-优化算法 第3周-超参数调整，批处理规范化和编程框架

【文件预览】：
Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization-master
----week2-Optimization-algorithms()
--------Optimization-methods.ipynb(374KB)
--------images()
----README.md(2KB)
----week1-Practical-aspects-of-Deep-Learning()
--------Initialization.ipynb(268KB)
--------Regularization-v2.ipynb(223KB)
--------images()
--------Gradient-Checking-v1.ipynb(26KB)
----week3-Hyperparameter-tuning-Batch-Normalization-and-Programming-Frameworks()
--------images()
--------Tensorflow-Tutorial.ipynb(206KB)