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
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