Time goes by quickly, and I also accomplished four courses of Deep learning specialization hosted by Deeplearning.ai. The lecture is still Andrew Ng. But at this time, I don’t feel sad anymore because Andrew is smiling at the end, “To do whatever you think is the best of what you can do for humanity.” Thanks to Deeplearning.ai, I master the basic concept of deep learning.

Outline

1. Neural networks and deep learning
2. Improving deep neural networks: hyperparameter tuning, regularization and optimization
3. Structuring machine learning projects
4. Convolutional neural networks
5. Sequence models

Program Assignments

anthonyweidai/AndrewNg-DeepLearning

Xiaohu Blogs

Summary for Deep Learning Hosted by Deeplearning.ai

How dose regularization work in ML and DL? - Class review

Weight Initialization Methods - Class review

Optimization algorithms for learning systems - Class review

Hyperparameters Tuning and Batch Normalization - Class review

Carrying out error analysis - Class review

Learning from Multiple Tasks - Class Review

Foundations of convolutional neural networks - Class review

Learning from Multiple Tasks - Class Review

Case study of classic networks - Class review

Inception network - Class Review

MoblieNets - Class review

Object detection - class review

YOLO algorithm

Semantic segmentation with U-Net - Class review

Face recognition - Class Review

Neural style transfer - Class review

Reference

[1] Deeplearning.ai, Deep Learning Specialization