Reminder: Like it while watching~Develop a good habit.
This is a self-study note during the epidemic in 2020. Sorting it out is equivalent to sorting out your own notes. I am also just getting started with machine learning, and the code is not well written.
table of Contents
warehouse
https://github.com/leandon/Postgraduate_Study_Notes
1 Getting started with python basics:
1.1 AI basic learning
It is strongly recommended to follow Dr. Huang Haiguang’s AI foundation for a
detailed reference to the notes I downloaded.
Amway Dr. Huang Haiguang’s public account : machine learning beginners
1.2 Crawling the website
- Crawl foreign comic websites according to the textbook** (completed)**
- Crawling novel** (completed)
- 250 crawls before Douban
- Crawling comics-handling simple anti-crawler technology** (completed)
- Crawling CSDN-to do website update email reminder operation** (completed)
- Crawl your own postgraduate entrance school notice (refer to 4 for template)
- Crawl movie download (m3u8) format! **(completed)
- Search and crawl video information related to station B '1988'** (completed)
2 Basics of machine learning
2.1 Wu Enda's video study notes
Video link: https://www.bilibili.com/video/BV164411b7dx
after class homework# Series of articles catalog
Wu Enda's video study notes
| Article name | Portal |
|---|---|
| Andrew Ng-machine learning basic notes (on)-Python implementation code | Portal |
| Andrew Ng-machine learning basic notes (below)-Python implementation code | Portal |
3 Statistical learning methods
| Article name | Article Blog |
|---|---|
| Statistical learning methods | Portal |
Directory as shown
Note: This part will be supplemented later and realized by comparing it with the textbook. At present, some mathematical formulas are not understood. After returning to school, borrow a book to read carefully
this part of the notes written by others. Refer to other people's notes. Deepen one's understanding
4 Basics of Deep Learning-Neural Network
4.1 The basics of neural network learning
| Article name | Article Blog |
|---|---|
| Summary of Neural Network Basic Study Notes | Portal |
| Neural network basic study notes (1) induction machine (artificial neuron) | Portal |
Note: Due to the large number of chapters, it is recommended to put down the general ledger directly, single chapter, single chapter, see blog for details. It is recommended to check it on the blog. It is the study notes in the book. It is recommended to type them all
5 Tensorflow2.0 study notes
| Article name | Article Blog |
|---|---|
| Tensorflow2.0 entry and practical study notes (1, 2)-optimization function, learning rate, back propagation | Portal |
| Tensorflow entry and practical study notes (3) – Tensorflow tf.data module | Portal |
| Tensorflow2.0 entry and practical study notes (4)-functional Api | Portal |
| Tensorflow2.0 introduction and practical study notes (5) functional api & functional & convolutional neural network | Portal |
| Tensorflow2.0 introduction and practical study notes (6)-batch standardization & convolutional neural network (satellite image) | Portal |
| Tensorflow2.0 entry and practical study notes (7)-tf.keras sequence problem | Portal |
| Tensorflow entry and practical study notes (8)-Eager mode | Portal |
| Tensorflow entry and practical study notes (9)-Tensorboard visualization | Portal |
| Tensorflow entry and practical study notes (10)-custom comprehensive strength and picture enhancement | Portal |
| Tensorflow entry and practical study notes (11)-pre-training network | Portal |
| Tensorflow entry and practical study notes (12)-image positioning | Portal |
| Tensorflow entry and practical study notes (13)-FNN image semantic segmentation | Portal |
| Tensorflow2.0 entry and practical study notes (14)-RNN recurrent convolutional network | Portal |
Code note warehouse:
6 References
- Watermelon book
- Statistical learning methods
- The official account of Dr. Huang Haiguang:
- Machine learning beginner
- NetEase Cloud-Sunyue Guanghua TF2.0 actual combat