linear regression summary

1. training data 분리

xdata, tdata

 

2. W, b -> random setting

 

3. loss_func, error_val, predict, activation function( sigmoid, relu)

 

4. hyper-parameter ( learning rate, iteration count)

 

5. for 문 수행 : update W,b ( error 체크)

 

6.predict