The output of the neural network is a
sigmoid function, mapping probabilities between 0 and 1.
神经网络的输出是
sigmoid函数,将概率映射到0和1之间。
The logistic regression model uses the
sigmoid function to squash the linear outputs into a probabilistic range.
逻辑回归模型使用
sigmoid函数将线性输出压缩到概率范围内。
The activation function in this layer is a
sigmoid, ensuring that the neuron's output stays within a reasonable range.
这一层的激活函数是
sigmoid,确保神经元的输出保持在一个合理的范围内。
A decision boundary derived from the
sigmoid function helps classify data points in binary classification problems.
由
sigmoid函数得出的决策边界有助于在二分类问题中对数据点进行分类。
Sigmoid functions are often used in artificial neural networks to introduce non-linearity in the model's output.
在人工神经网络中,
sigmoid函数经常被用来为模型输出引入非线性。
The
sigmoid curve is a popular choice for probability estimation because it's smooth and differentiable everywhere.
Sigmoid曲线是一个流行的概率估计选择,因为它平滑且处处可微分。
After applying the
sigmoid function to the input, the output value represents the model's confidence in a positive class prediction.
对输入应用
sigmoid函数后,输出值代表模型对正类预测的信心度。
In natural language processing,
sigmoid functions are employed to calculate the likelihood of a word occurring in a given context.
在自然语言处理中,
sigmoid函数用于计算给定上下文中单词出现的可能性。
During backpropagation in a neural network, the derivative of the
sigmoid is used to adjust the weights during training.
在神经网络的反向传播过程中,
sigmoid的导数用于训练期间调整权重。
The
sigmoid function is utilized to convert continuous values into probabilities, making it suitable for binary classification tasks.
Sigmoid函数被用来将连续值转换为概率,使其适用于二分类任务。
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