隐藏层 - 翻译成英语

hidden layers
hidden levels

在 中文 中使用 隐藏层 的示例及其翻译为 英语

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第一个自动编码器的隐藏层变成第二个的输入或输出层,依此类推。
The hidden layer of the first autoencoder becomes the input/output layer of the second one, and so on.
A:80年代,如果你建造的网络有很多隐藏层,你无法训练它们。
A: In the 80s, if you built a network with many hidden layers, you can't train them.
还有其他一些方法可以限制自编码器的重构,而不是简单地强加一个维度比输入小的隐藏层
There are other ways we can constraint the reconstruction of an autoencoder than to impose a hidden layer of smaller dimension than the input.
现代人工神经网络由一系列软件组成,分为输入、隐藏层和输出几个部分。
Modern artificial neural networks are composed of an array of software components, divided into inputs, hidden layers and outputs.
CNN将在卷积原理的基础上,在中间形成一个隐藏层,即pooling层。
A CNN will, on the foundation of the principle of convolusion, form a hidden layer in the middle, namely the pooling layer..
对输入(可见)和输出层(输出)使用相同的变量名称,甚至可以使用隐藏层(hidden1,hidden2)。
Use the same variable name for the input(visible) and output layers(output) and perhaps even the hidden layers(hidden1, hidden2).
下图中,简单神经网络有四个输入,一个带有五个参数的隐藏层和一个输出层。
In the image below, the simple neural net has four inputs, a single hidden layer with five parameters, and an output layer..
它有一个连接到输入变量的输入层,一个或多个隐藏层,以及一个产生输出变量的输出层。
It has an input layer that connects to the input variables, one or more hidden layers, and an output layer that produces the output variables.
这个回声状态网络(ESN)是一个循环神经网络,具有稀疏连接的隐藏层(通常具有1%的连通性)。
The echo state network(ESN) is a recurrent neural network with a sparsely connected hidden layer(with typically 1% connectivity).
了解隐藏层的作用:深度学习模型中的大部分知识都是在隐藏层中形成的。
Understanding what Hidden Layers Do: The bulk of the knowledge in a deep learning model is formed in the hidden layers.
探索网络可视化知识的另一种方式是思考最后的4096维隐藏层在图像上得到的特征激活。
Another way to probe the network's visual knowledge is to consider the feature activations induced by an image at the last, 4096-dimensional hidden layer.
深度学习或深度神经网络(DNN)框架涵盖具有许多隐藏层的各种神经网络拓扑。
A deep learning or deep neural network(DNN) framework covers a variety of neural network topologies with many hidden layers.
在UNREAL算法中,包含了两类辅助任务:第一种是控制任务,包括像素控制和隐藏层激活控制。
For UNREAL, there are two types of auxiliary tasks, the first one is the control task, including pixel control and hidden layer activation control.
几年前几乎不可能建立一个有五个隐藏层的欺诈检测系统。
A few years ago, it's almost impossible for us to build a fraud detection system with five hidden layers.
但我发现的一件事就是实际上存在一个强大的管理隐藏层公司的结构。
But the one thing I found out the hard way is that there is actually a hidden layer of powerful management structure in the company.
就DBN而言,输入层代表原始感官输入,每个隐藏层会学习该输入的抽象表示。
In the DBN, the input layer represents the raw sensory inputs, and each hidden layer learns abstract representations of this input.
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.
对于所有例子,假设我们有两个相关的任务A和B,它们依赖于一个共同的隐藏层表征F。
For all examples, we will assume that we have two related tasks(A) and(B), which rely on a common hidden layer representation(F).
深度”一词通常是指神经网络中的隐藏层数。
The term“deep” usually refers to the number of layers hidden within the neural network.
通过为隐藏层赋予意义,语义词典为我们现有的可解释性技术奠定了基础,使其成为可组合的构建块。
By bringing meaning to hidden layers, semantic dictionaries set the stage for our existing interpretability techniques to be composable building blocks.
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