410521221 陳學勤 1. Prepare the training data which must contain 256 binary inputs and there corresponding outputs ![](https://i.imgur.com/QdYDkOi.png) 2. Design the MLP neural network ![](https://i.imgur.com/4C2wXG2.png) ![](https://i.imgur.com/UEswd7S.png) ![](https://i.imgur.com/3Z8v7IM.png) 3.Train the MLP with the training data ![](https://i.imgur.com/dd6aTCv.png) training result: ![](https://i.imgur.com/fYLRCDL.png) 錯誤了兩個。 plot: ![](https://i.imgur.com/Pi9rKES.png) 試著更改seed的值,及增加epoch圈數,loss降低了且沒錯誤了 ![](https://i.imgur.com/lGLywmB.png) plot: ![](https://i.imgur.com/AJTsGEd.png)