# Applied Mathematics for Computer Science

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homework:2017-py01

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 homework:2017-py01 [2017/02/28 08:08]hongxin [Requirements] homework:2017-py01 [2017/02/28 08:13]hongxin [Goal] Both sides previous revision Previous revision 2017/02/28 08:13 hongxin [Goal] 2017/02/28 08:12 hongxin [Requirements] 2017/02/28 08:08 hongxin [Requirements] 2017/02/28 08:07 hongxin [Requirements] 2017/02/28 08:03 hongxin [Goal] 2017/02/28 08:02 hongxin created Next revision Previous revision 2017/02/28 08:13 hongxin [Goal] 2017/02/28 08:12 hongxin [Requirements] 2017/02/28 08:08 hongxin [Requirements] 2017/02/28 08:07 hongxin [Requirements] 2017/02/28 08:03 hongxin [Goal] 2017/02/28 08:02 hongxin created Line 2: Line 2: ===== Goal ===== ===== Goal ===== - Implement polynomial curve fitting in python and with TensorFlow. + Implement polynomial curve fitting in python and with TensorFlow ​(optionally). 1. sample the function curve of y=sin(x) with Gaussian noise 1. sample the function curve of y=sin(x) with Gaussian noise Line 20: Line 20: ===== Requirements ===== ===== Requirements ===== - Programming lanuage: python - Programming lanuage: python - - Additional ​package: tensorflow [[https://​www.tensorflow.org|web]] + - Optional ​package: tensorflow [[https://​www.tensorflow.org|web]] - Plot the results in [[http://​matplotlib.org/​|matplotlib]][[http://​www.ibm.com/​developerworks/​cn/​linux/​l-matplotlib/​index.html|Introduction in Chinese]] [[http://​www.ast.uct.ac.za/​~sarblyth/​pythonGuide/​PythonPlottingBeginnersGuide.pdf|Tutorial]] - Plot the results in [[http://​matplotlib.org/​|matplotlib]][[http://​www.ibm.com/​developerworks/​cn/​linux/​l-matplotlib/​index.html|Introduction in Chinese]] [[http://​www.ast.uct.ac.za/​~sarblyth/​pythonGuide/​PythonPlottingBeginnersGuide.pdf|Tutorial]]