Improving Deep Neural Networks - Week2

时间 2020-12-24

标签 DeepLearning 繁體版

原文原文链接

Week2 优化算法上节课我们主要介绍了如何建立一个实用的深度学习神经网络。包括Train/Dev/Test sets的比例选择，Bias和Variance的概念和区别：Bias对应欠拟合，Variance对应过拟合。接着，我们介绍了防止过拟合的两种方法：L2 regularization和Dropout。然后，介绍了如何进行规范化输入，以加快梯度下降速度和精度。然后，我们介

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1. Improving Deep Neural Networks
2. Improving Deep Neural Networks [1]
3. Improving Deep Neural Networks[3]
4. Improving Deep Neural Networks[2]
5. Convolutional Neural Networks-Week2
6. 吴恩达deep learning笔记 Neural Networks week2
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9. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
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