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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