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<p><span style="font-family: "Fira Code"; font-size: 10.5pt; color: rgb(0, 0, 128); font-weight: bold;">import </span><span style="color: rgb(0, 0, 0); font-family: "Fira Code"; font-size: 10.5pt;">numpy </span><span style="font-family: "Fira Code"; font-size: 10.5pt; color: rgb(0, 0, 128); font-weight: bold;">as </span><span style="color: rgb(0, 0, 0); font-family: "Fira Code"; font-size: 10.5pt;">np</span><br></p><pre style="color: rgb(0, 0, 0); font-family: "Fira Code"; font-size: 10.5pt;"><span style="color:#000080;font-weight:bold;">import </span>matplotlib.pylab <span style="color:#000080;font-weight:bold;">as </span>plt<br><br><span style="color:#000080;font-weight:bold;">def </span>sigmoid_function(x):<br> <span style="color:#000080;font-weight:bold;">return </span><span style="color:#0000ff;">1 </span>/ (<span style="color:#0000ff;">1 </span>+ np.exp(-x))<br><br>x = np.arange(-<span style="color:#0000ff;">5.0</span>, <span style="color:#0000ff;">5.0</span>, <span style="color:#0000ff;">0.1</span>) <span style="color:#808080;font-style:italic;"># x</span><span style="color:#808080;font-style:italic;font-family:'굴림체';">의 범위는</span><span style="color:#808080;font-style:italic;"> -5.0~ 4.9(5.0) </span><span style="color:#808080;font-style:italic;font-family:'굴림체';">까지</span><span style="color:#808080;font-style:italic;"> 0.1 </span><span style="color:#808080;font-style:italic;font-family:'굴림체';">간격으로<br></span>y = sigmoid_function(x)<br><br>plt.plot(x, y)<br>plt.ylim(-<span style="color:#0000ff;">0.1</span>, <span style="color:#0000ff;">1.1</span>)<br>plt.show()</pre><p><br></p><p style="text-align: center;"><img src="https://t1.daumcdn.net/cfile/cafe/99F68D455C0FB62720" class="txc-image" actualwidth="320" hspace="1" vspace="1" border="0" width="320" exif="{}" data-filename="시그모이드함수.png" style="clear:none;float:none;" id="A_99F68D455C0FB627205FEF"/></p><p><br></p>
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활성화 함수 - 시그모이드 함수(Sigmoid Function)
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18.12.11 22:05
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