最后一层 - 翻译成英语

• last layer
• final layer
• last floor
• a final coat

在 中文 中使用 最后一层 的示例及其翻译为 英语

你不能查看中间层的输出，只能获得最后一层网络的预测值。
You cannot look at the output produced by intermediate layers; you only get the prediction that comes out the last layer of the network.

第一阶段是通过一个神经网络将输入传播到最后一层(称为前馈)。
The first phase is the propagation of inputs through a neural network to the final layer(called feedforward).

首先，由于编码器的输出必须服从高斯分布，我们在最后一层不使用任何非线性定义。
First, since the output of the encoder has to follow a Gaussian distribution, we do not use any nonlinearities at its last layer.

后续图层学习识别诸如眼或鼻这样的形状的集合，而最后一层将学习甚至更高阶（如面部）的特征。
The following layer learns to recognize collections of shapes like eyes or noses, and the last layer will learn even higher-order features like faces.

A把除了最后一层外所有的层都冻住，重新训练最后一层.
Freeze all the layers except the last, re-train the last layer.

神经网络的第一层、中间层和最后一层分别称为输入层、隐藏层和输出层。
The first, middle, and last layers of a neural network are called the input layer, hidden layer, and output layer respectively.

我们保持softmax作为最后一层的激活功能，因为这是最适合分类的。
We keep softmax as the activation function on the last layer because that is what works best for classification.

最后一层使用Softmax激活函数，而不是默认的Sigmoid函数。
The third layer is using the softmax activation function rather than the default sigmoid function.

最后一层与森林最密切相连，有两个大型聚会空间供讲座和会议使用。
The final floor, which is in closest connection with the forest, has two large and bright gathering spaces for classes and conferences.

所以假设你已经走到最后一层，放大它的参考网格，让我们开始吧。
So assuming you have already made your way up to the last layer, zoom in on its reference grid and let's get started.

我们继续用softmax来作为最后一层的激活函数，因为它在分类问题中工作的最好。
We keep softmax as the activation function on the last layer because that is what works best for classification.

年开始工作，虽然1368年增加了最后一层，完成72.5米的塔架。
Work started on it in 1192, although the final storeys were added in 1368, completing the 72.5 metre tower.

网络的第五层也是最后一层能够识别这些图像中最显眼的大尺度元素。
The network's fifth and final layer is able to recognize an impressively wide range of elements within these images.

最后一层全连接层的输出传给一个1000的softmax函数，产生一个1000种标签的分类。
The output of the last layer is fed to a 1000-way softmax which produces a distribution over the 1000 class labels.

最后一层全连接层的输出传给一个1000的softmax函数，产生一个1000种标签的分类。
The output of the last layer is fed into the 1000-way softmax which can create 1000 class labels.

最后一层会有1万个潜在神经元输入，那些激活的神经输出，每一个都对应了一个特殊的标签，可以用来识别图像。
The last layer has 10,000 potential neuron outputs; each one of those activations correspond to a particular label which identifies the image.

最后一层使用所有生成的特征来进行分类或回归（卷积网络的最后一层，本质上就是多项式逻辑回归）。
The final layer(s) use all these generated features for classification or regression(the last layer in a convolutional net is, essentially, multinomial logistic regression).

但是如果我们移除最后一层，我们可以将卷积神经网络（CNN）丰富的编码代替图像喂给设计好的递归神经网络（RNN）以产生短语。
But if we remove that final layer, we can instead feed the CNN's rich encoding of the image into a RNN designed to produce phrases.

最后一层，非常明亮。
On the first floor, very bright.

最后一层是Container本身。
The first was the Container itself.