轉自：https://www.sohu.com/a/169543427_800763
日程安排
|
時間 |
課程主題 |
內容 |
|
|
賽前輔導 |
DAY1 |
競賽介紹 |
Kaggle競賽介紹/團隊分工與要求/動員 |
|
基礎入門 |
Python關鍵知識點梳理/machine learning介紹 |
||
|
DAY2 |
Regression Methods |
Regression problem/Linear regression/Cost Function/Optimization |
|
|
Direct Estimation/Gradient Descent/Wrap-Up of Linear Regression/Nonlinear Regression/Regularization |
|||
|
DAY3 |
Perceptron |
What is the problem/Perceptron Model/Training a perceptron/Putting it All Together/Limitation |
|
|
Logistic Regression |
Logistic Regression at a glance/The Logistic Function/Logistic Regression Training/Regularization |
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|
DAY4 |
Neural Network |
Multi-class classification/Artificial Neuron/Neural Networks |
|
|
Multi-class classification/Training/Regularization |
|||
|
DAY5 |
MNIST Project I |
Introduction to the project/Practice/Solutions |
|
|
Deep Learning |
The problems/Solutions/Conclusion |
||
|
DAY6 |
CNN |
What’s the problem/Convolutions and their uses/Convolutional Neural Networks/Training |
|
|
MNIST Project II |
Introduction to the project/Practice/Solutions |
||
|
競賽指導 |
DAY7 |
創立KAGGLE參賽賬戶 測試/調試參賽程序 提交參賽項目結果 |