What is the translation of " FULLY-CONNECTED " in Chinese?

• 完全连接
• 一个全连接

Examples of using Fully-connected in English and their translations into Chinese

Then we create the fully-connected layer:.
此后，我们创建该完全连接层：.

The fully-connected layers have 4096 neurons each.
每一个全连接层都有4096个神经元。

We then have three fully-connected(FC) layers.
然后有三个完全连接（FC）层：.

This is a fully-connected layer because every neuron connects to every input value.
这个一个完全连接层，因为每个神经元都链接到输入层。

We use dropout in the first two fully-connected layers[of the model].
我们在前两个全连接的层（模型）中使用随机失活。

For the fully-connected layers, each has 4096 neurons.
每一个全连接层都有4096个神经元。

The result y_pred is a single number, so the fully-connected layer has only one output channel.
而结果y_pred仅为单一数字，这样该完全连接层将仅拥有一条输出通道。

After fully-connected and convolutional networks, you should have a look at recurrent neural networks.
在完全连接和卷积网络之后，您应该看看循环神经网络。

Banks are the platform that connects everything and provides digital financial services in a fully-connected era.
银行即联接一切的平台，是提供全联接时代数字化金融服务的新平台。

There is no fully-connected layer in YOLOv2.
YOLOv2中没有全连接层。

In MTL for computer vision, approaches often share the convolutional layers, while learning task-specific fully-connected layers.
在用于计算机视觉的MTL中，通常的方法是共享卷积层，同时学习特定任务的全连接层。

Let n agents move in a fully-connected graph in order to collect treasures.
让n个智能体在完全连接的图上移动并收集宝藏。

The network topology is based on the built-in example provided in Caffe, with three convolution layers and one fully-connected layer.
网络拓扑结构基于Caffe中提供的内置示例，具有三个卷积层和一个完全连接层。

This amount still seems manageable, but clearly this fully-connected structure does not scale to larger images.
这个数量仍然是可控的，但显然这个完全连接的结构不会扩大到更大的图像。

For the final Fully-Connected layer, we added the neural network with two layers, for which we used Dense class.
对于最后的全连接层，我们添加了两层的神经网络，对于这两层，我们使用了Dense类。

He also thinks a more efficient way of processing fully-connected layers could lead to them being used more widely.
他还认为，这种处理全连接层的更有效的方法可以被更广泛地应用。

We will use three convolutional layers at the top, our traditional softmax readout layer at the bottom and connect them with one fully-connected layer:.
我们将在顶部使用三个卷积层，我们的传统softmax读出层在底部，并连接到一个完全连接的层：.

This amount still seems manageable, but clearly this fully-connected structure does not scale to larger images.
这个大小看起来仍然是可控的，但很明显这个全连接架构不能扩展为较大的图片。

For instance, the BNNS fully-connected layer did not want to accept 16-bit floats so I had to convert the data back to 32-bit floats first.
例如，BNNS全连接层不能接受16位浮点数，所以我必须先将数据转换回32位浮点数。

TimeDistributedDense applies a same Dense(fully-connected) operation to every timestep of a 3D tensor.
TimeDistributedDense对3D张量的每个时间步应用相同的Dense(完全连接)操作。

To reduce overfitting in the fully-connected layers we employed a recently-developed regularization method called“dropout” that proved to be very effective.
为了减少全连接层的过拟合问题，我们使用了最近开发的正则化方法“dropout”,它被证明是非常有效的。

Conventional neural networks during their training phase are fully-connected: each neuron in a layer gets input from every neuron in the previous layer.
常规的神经网络在其训练阶段是全连接的：一层中的每个神经元连接了前一层中每一神经元的输入。

Apart from classification, adding a fully-connected layer is also a way of learning non-linear combinations of these features.
除了分类以外，加入全连接层也是学习特征之间非线性组合的有效办法。

Apart from classification, adding a fully-connected layer is also a way of learning non-linear combinations of these features.
除了分类，添加一个全连接层也（一般）是学习这些特征的非线性组合的简单方法。

Apart from classification, adding a fully-connected layer is also a(usually) cheap way of learning non-linear combinations of these features.
除分类之外，添加完全连接层也是一个（通常来说）比较简单的学习这些特征非线性组合的方式。

We add a pooling layer, some fully-connected layers, and finally a softmax classification layer and bounding box regressor.
我们添加一个池化层，一些完全连接层，最后添加一个softmax分类层和边界盒回归（boundingboxregressor）。

We add a pooling layer, some fully-connected layers, and finally a softmax classification layer and bounding box regressor.
我们再添加一个池化层、一些全连接层以及最后，一个softmax分类层和边界框回归器（boundingboxregressor）。

The second model applies a shallow fully-connected neural network to byte n-grams taken from the file PE-Header only[Raff et al. 2017].
第二个模型将一个浅层的全连接的神经网络用于从文件PE-Header中提取字节n-gram[Raffetal.2017]。