1.Multiple Dimension Logistic Regression Model
1.1 Mini-Batch (N samples)

8D->1D

8D->2D

8D->6D

1.2 Neural Network
学习能力太好也不行(学习到的是数据集中的噪声),最好的是要泛化能力,超参数尝试
Example, Artificial Neural Network

Example, Diabetes Prediction

1.Prepare dataset

2.Define Model

3. Construct Loss and Optimizer

4. Training Cycle

改不同的激活函数 Try different active function
