mirror of
https://github.com/This-weiyuqing/ECG_by_Diffenert_CNN_Test.git
synced 2026-10-18 03:13:39 +08:00
weiyuqing
af187d92e9
By completing the thesis, we have corrected the deficiencies and fixed some bugs.
45 lines
817 B
Python
45 lines
817 B
Python
# -*- coding: utf-8 -*-
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"""
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Created on Sun Mar 11 20:41:57 2018
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@author: brucelau
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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x = np.linspace(-10,10)
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y_sigmoid = 1/(1+np.exp(-x))
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y_tanh = (np.exp(x)-np.exp(-x))/(np.exp(x)+np.exp(-x))
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fig = plt.figure()
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# plot sigmoid
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ax = fig.add_subplot(221)
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ax.plot(x,y_sigmoid)
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ax.grid()
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ax.set_title('(a) Sigmoid')
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# plot tanh
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ax = fig.add_subplot(222)
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ax.plot(x,y_tanh)
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ax.grid()
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ax.set_title('(b) Tanh')
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# plot relu
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ax = fig.add_subplot(223)
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y_relu = np.array([0*item if item<0 else item for item in x ])
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ax.plot(x,y_relu)
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ax.grid()
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ax.set_title('(c) ReLu')
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#plot leaky relu
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ax = fig.add_subplot(224)
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y_relu = np.array([0.2*item if item<0 else item for item in x ])
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ax.plot(x,y_relu)
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ax.grid()
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ax.set_title('(d) Leaky ReLu')
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plt.tight_layout()
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plt.show()
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