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ParametricRampLayer

[试用]

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表示一个网络层，计算具有可学习斜率的带泄露 ReLU 激活函数.

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指定每个维度都有一个特定斜率的那些层.

更多信息和选项

范例

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基本范例  (1)常见实例总结

创建一个 ParametricRampLayer：

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In[1]:=1
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https://wolfram.com/xid/0ixecybu5sk26aq-q474ei
Direct link to example
Out[1]=1

范围  (3)标准用法实例范围调查

初始化一个 ParametricRampLayer，接受长度为 3 的向量，每个维度都有一个斜率系数：

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In[1]:=1
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https://wolfram.com/xid/0ixecybu5sk26aq-sijkmj
Direct link to example
Out[1]=1

获取斜率的值：

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In[2]:=2
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https://wolfram.com/xid/0ixecybu5sk26aq-4kypb2
Direct link to example
Out[2]=2

对一些输入应用网络层：

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In[3]:=3
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https://wolfram.com/xid/0ixecybu5sk26aq-g0rw2b
Direct link to example
Out[3]=3

在数据上学习斜率：

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In[4]:=4
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https://wolfram.com/xid/0ixecybu5sk26aq-w4j6il
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Out[4]=4
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In[5]:=5
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https://wolfram.com/xid/0ixecybu5sk26aq-w7k38r
Direct link to example
Out[5]=5

初始化接受长度为 3 的向量并使用唯一斜率系数的 ParametricRampLayer：

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In[1]:=1
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https://wolfram.com/xid/0ixecybu5sk26aq-86ti0c
Direct link to example
Out[1]=1
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In[2]:=2
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https://wolfram.com/xid/0ixecybu5sk26aq-58cavk
Direct link to example
Out[2]=2

初始化接受长度为 3 的向量序列的 ParametricRampLayer：

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In[1]:=1
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https://wolfram.com/xid/0ixecybu5sk26aq-rgvlvx
Direct link to example
Out[1]=1
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In[2]:=2
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https://wolfram.com/xid/0ixecybu5sk26aq-z5nayy
Direct link to example
Out[2]=2

选项  (3)各选项的常用值和功能

LearningRateMultipliers  (1)

创建具有固定斜率 0.1 的带泄露的 ReLU：

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In[1]:=1
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https://wolfram.com/xid/0ixecybu5sk26aq-6e1q7p
Direct link to example
Out[1]=1

训练具有这种非线性的网络：

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In[2]:=2
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https://wolfram.com/xid/0ixecybu5sk26aq-88z4wj
Direct link to example
Out[2]=2

训练后带泄露的 ReLU 依然有同样的斜率值：

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In[3]:=3
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https://wolfram.com/xid/0ixecybu5sk26aq-80nv78
Direct link to example
Out[3]=3

"Slope"  (2)

创建一个已经用给定斜率值初始化的 ParametricRampLayer：

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In[1]:=1
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https://wolfram.com/xid/0ixecybu5sk26aq-9ab4j2
Direct link to example
Out[1]=1

对一些数据应用该网络层：

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In[2]:=2
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https://wolfram.com/xid/0ixecybu5sk26aq-ddv4jh
Direct link to example
Out[2]=2

创建具有独特斜率的带泄漏的 ReLU，保持该斜率值固定不变：

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In[1]:=1
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https://wolfram.com/xid/0ixecybu5sk26aq-hxxb4u
Direct link to example
Out[1]=1

对一些数据应用该网络层：

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In[2]:=2
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https://wolfram.com/xid/0ixecybu5sk26aq-qctt46
Direct link to example
Out[2]=2
Wolfram Research (2020)，ParametricRampLayer，Wolfram 语言函数，https://reference.wolfram.com/language/ref/ParametricRampLayer.html.
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Wolfram Research (2020)，ParametricRampLayer，Wolfram 语言函数，https://reference.wolfram.com/language/ref/ParametricRampLayer.html.

文本

Wolfram Research (2020)，ParametricRampLayer，Wolfram 语言函数，https://reference.wolfram.com/language/ref/ParametricRampLayer.html.

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Wolfram Research (2020)，ParametricRampLayer，Wolfram 语言函数，https://reference.wolfram.com/language/ref/ParametricRampLayer.html.

CMS

Wolfram 语言. 2020. "ParametricRampLayer." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/ref/ParametricRampLayer.html.

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Wolfram 语言. 2020. "ParametricRampLayer." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/ref/ParametricRampLayer.html.

APA

Wolfram 语言. (2020). ParametricRampLayer. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/ParametricRampLayer.html 年

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Wolfram 语言. (2020). ParametricRampLayer. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/ParametricRampLayer.html 年

BibTeX

@misc{reference.wolfram_2025_parametricramplayer, author="Wolfram Research", title="{ParametricRampLayer}", year="2020", howpublished="\url{https://reference.wolfram.com/language/ref/ParametricRampLayer.html}", note=[Accessed: 07-April-2025 ]}

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@misc{reference.wolfram_2025_parametricramplayer, author="Wolfram Research", title="{ParametricRampLayer}", year="2020", howpublished="\url{https://reference.wolfram.com/language/ref/ParametricRampLayer.html}", note=[Accessed: 07-April-2025 ]}

BibLaTeX

@online{reference.wolfram_2025_parametricramplayer, organization={Wolfram Research}, title={ParametricRampLayer}, year={2020}, url={https://reference.wolfram.com/language/ref/ParametricRampLayer.html}, note=[Accessed: 07-April-2025 ]}

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@online{reference.wolfram_2025_parametricramplayer, organization={Wolfram Research}, title={ParametricRampLayer}, year={2020}, url={https://reference.wolfram.com/language/ref/ParametricRampLayer.html}, note=[Accessed: 07-April-2025 ]}