损失 函数 英语是什么意思 - 英语翻译

• loss function
• cost function
• loss functions

在 中文 中使用 损失 函数 的示例及其翻译为 英语

神经网络的训练目标实际上就是最小化某个损失函数。
Training a neural network basically refers to minimizing the cost function.

交叉熵损失函数使用梯度下降进行优化。
Cross-Entropy Loss functions are optimized using Gradient Descent.

Huber和epsilon-insensitive损失函数可以用于鲁棒回归。
The Huber and epsilon-insensitive loss functions can be used for robust regression.

了解数据和网络表示及损失函数.
Learn about data and network representation and loss functions.

Losses模块提供了一系列常用的损失函数。
Losses module provides a set of common loss functions.

例如，我们可以在损失函数中添加一个修正术语。
We could, for example, add a reguralization term in the loss function.

换句话说，损失函数与图像质量不相关。
In other words, the loss function doesn't correlate with image quality.

这样，损失函数是交叉熵的平均值：.
Such a loss function is the average of cross-entropies:.

为了衡量输出，我们需要定义损失函数。
In order to fit the weights, we need to define a loss function.

代价函数是整个训练集的损失函数的平均值。
The cost function is the average of the Loss function over the entire training set.

要确定此值，模型必须定义损失函数。
To determine this value, a model must define a loss function.

你可以使用L-BFGS甚至SGD等优化方法优化损失函数。
You can optimize the loss function using optimization methods like L-BFGS or even SGD.

神经网络的训练目标实际上就是最小化某个损失函数。
By training neural networks, we essentially mean we are minimising a loss function.

为了确定损失值，模型必须定义损失函数。
To determine this value, a model must define a loss function.

优化器的目标是最小化损失函数的输出值。
The optimizer's goal is to minimize the output value of the loss function.

因此，我们使用交叉熵作为损失函数。
And we also use a binary cross entropy as the loss function.

损失函数的值为我们提供了网络在给定数据集上的表现离完美有多远的测度。
The value of the loss function tells us how far from perfect the performance of our network on a given dataset is.

损失函数是针对单个训练实例定义的，它告诉我们在特定示例中我们做得有多好。
Loss function is defined for a single training example which tells us how well we are doing on that particular example.

这将导致损失函数在某些方向上非常敏感，而在其他方向不敏感。
This will lead the cost function to be very sensitive in some directions and insensitive in other directions.

损失函数有很多种，选择应该由我们问题的性质决定。
There are many available loss functions, and the nature of our problem should dictate our choice of loss function..

在标准式中，f称为目标函数（有时也称为损失函数）。
In this notation, is called the objective function(it is also sometimes called the cost function).

一维优化方法虽然损失函数取决于许多参数，一维优化方法在这里非常重要。
One-dimensional optimization- Although the loss function mainly depends on many parameters, not just one, one-dimensional optimization methods are of great importance here.

该函数并不是唯一的损失函数，例如，您可以选择mean_squared_error。
This isn't the only choice for a loss function, you could, for instance, choose mean_squared_error.

损失函数有很多种，而我们问题的性质会决定我们使用哪种损失函数。
There are several available loss functions, and the essence of our problem should dictate our selection of loss function.

(c)如果训练的话，计算损失函数的表达式，并使用它的backward()函数来进行反向传播。
(c) If training, calculate an Expression representing the loss function, and use its backward() function to perform back-propagation.

如果你的损失由几个更小的损失函数组成，那么确保它们每一个的相应幅值都是正确的。
If your loss is composed of several smaller loss functions, make sure their magnitude relative to each is correct.

SGD不是在损失函数上移动一个点，而是一片点云或者说一个分布。
SGD does not move a point on a loss function, but a cloud of points, or in other words, a distribution.

损失函数有很多种，而我们问题的性质会决定我们使用哪种损失函数。
There are many available loss functions, and the nature of our problem should dictate our choice of loss function.

当平均绝对误差（MAE）是损失函数时，中值将被用作F0（x）来初始化模型。
When MAE(mean absolute error) is the loss function, the median would be used as F0(x) to initialize the model.

根据损失函数的结果来看，这两个模型具有一样好的效果。
According to our loss functions, the two models were equally good.