What is the translation of " 是神经网络 " in English?

neural networks
神经网络
一个神经网络
神经网络来
is this neural-network
neural network
神经网络
一个神经网络
神经网络来

Examples of using 是神经网络 in Chinese and their translations into English

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即使是神经网络,也要用到概率方法。
Even neural networks can be coupled with probabilistic methods.
是神经网络学会了识别艺术家的画作。
The neural network was taught to recognize the artist's paintings.
深入报道机器学习主题,特别是神经网络
In-depth coverage of machine learning topics, particularly neural networks.
KN有时也不被认为是神经网络
KNs are sometimes not considered neural networks either.
什么是神经网络和如何训练它.
What is a neural network and how to train it.
其中是神经网络的参数。
This is a neural network parameter.
大概在90年代,它应该是神经网络
In the 1990s I thought it might be internet nerds.
但首先,什么是神经网络??
But first, what is a neural network?
尤其是神经网络的出现成为对它们进行重新评估的绝佳契机,因为神经网络对数值运算的变化和实验具有相当大的容忍度。
Neural networks in particular provide an excellent opportunity for this reevaluation, as they are quite tolerant of variation and experimentation.
尽管算不上是神经网络,但它们确实类似于神经网络,并提供了BM和HN的理论基础。
While not really a neural network, they do resemble neural networks and form the theoretical basis for BMs and HNs.
机器学习(特别是神经网络)已在解决这些歧义方面取得了显著的进展。
Machine learning(and in particular, neural networks) have made significant progress in resolving these ambiguities.
进入大数据时代,机器学习的模型、尤其是神经网络的模型,都需要大量数据来进行训练。
Machine learning algorithms and in particular neural network models, require vast amounts of training data.
这种现象在认知科学领域被称为‘灾难性遗忘(catastrophicforgetting)',这也被认为是神经网络的基本限制之一。
In cognitive science,it is called as‘catastrophic forgetting' and is a well-known limitation of neural networks.
一个可以看到不同超参数对模型(主要是神经网络)训练的影响的平台。
A program that visualizeshow different hyperparameters influence model(primarily neural network) training.
其次,更有效“训练”系统编程方法的发展,特别是神经网络,它能够与GPU并行处理同时工作。
Development of programming approaches to“train” systems more effectively,specifically neural networks, which work in conjunction with the parallel processing of GPUs.
一款用于直观呈现不同的超参数对模型(主要是神经网络)训练的影响的程序。
A program that visualizeshow different hyperparameters influence model(primarily neural network) training.
现在神经网络就能解决各种各样的问题了,人类大脑中是否有任何奥秘是神经网络无法捕捉到的??
Now that neural networks can solve a variety of problems,is there any mystery in the human brain that neural networks can't capture?
但是在知识表示和推理方面,这是很棒的,这是神经网络非常缺乏的两个领域。
But it is terrific at knowledge representation and reasoning,two areas where neural networks lack sorely.
现在,我们更深入的了解什幺是神经网络,以及它们不同的种类。
Now, we will dive in deeper into what is a Neural Network and different types of it.
书中对CNN进行了全面介绍,首先是神经网络的基本概念:训练、正则化和优化。
It provides a comprehensiveintroduction to CNNs starting with the essential concepts behind neural networks: training, regularization, and optimization of CNNs.
基础的图像和视频识别模型是神经网络,它大致模拟了大脑处理信息的方式。
Underlying image and video-recognition models are neural networks, which are loosely modeled on how the brain processes information.
Lecun与Hinton各自提到过,那时他们以及他们学生的论文被拒成了家常便饭,因为论文主题是神经网络
LeCun and Hinton variously mentioned how in this period their papers were routinelyrejected from being published due to their subject being neural networks.
和区分图片中的猫和狗一样,这是神经网络擅长的领域,”Pierini说。
This is like distinguishing cats from dogs in images, and neural networks are very good at it,” Pierini says.
光学计算机也特别适用于快速矩阵乘法,这是神经网络中的关键运算之一。
Optical computers are also especially suitable for fast matrix multiplication,one of the key operations in neural networks.
与神经网络相关的期刊会说,“什么是量子力学?”物理学杂志会说,‘什么是神经网络?'.
The neural-network journals would say,'What is this quantum mechanics?' andthe physics journals would say,'What is this neural-network garbage?'".
在电影《终结者2:审判日》中,机器人说:“我的CPU是神经网络处理器,一台可以学习的计算机。
In the movie"Terminator 2:Judgment Day," the titular robot says,"My CPU is a neural net processor, a learning computer.".
它们依靠的是神经网络
It relies on neural networks.
成本函数是神经网络的核心。
Cost Function is at the centre of Neural Network.
是神经网络的第二次复活。
This is the second resurrection of neural networks.
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