The results aren't perfect, but the project designers say it proves the benefits of deep neural networks.
虽然结果不尽完美,但此专案的设计师表示该程序已证实深度神经网路的益处。
They have two grasping fingers attached to a triple-joined arm, which are controlled by two deep neural networks.
手臂由两个深度神经网络所控制,它一共有三个关节,并连接着两根用来抓东西的手指。
Generally speaking, it is the way a computer imitates the human brain to learn, judge and make decisions using deep neural networks.
通俗地讲就是指计算机通过深度神经网络,模拟人脑的机制来进行学习、判断和决策。
Deep neural networks are a popular flavor of artificial intelligence, because of their aptitude in being able to make predictions based on large amounts of data.
深度神经网络是人工智能的一种流行方式,因为它们能够通过大量数据做出预测。
This book will teach you many of the core concepts behind neural networks and deep learning.
这本书将告诉你许多神经网络与深度学习后面的核心概念。
After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.
在完成本书的学习后,你将可以编写代码来使用神经网络和深度学习来解决复杂的模式识别问题。
What's more, we'll improve the program through many iterations, gradually incorporating more and more of the core ideas about neural networks and deep learning.
更进一步,我们将通过多次迭代来提升这个程序的效果,逐渐触及越来越多神经网络与深度学习的核心概念。
The purpose of this book is to help you master the core concepts of neural networks, including modern techniques for deep learning.
这本书的目标是帮助你掌握神经网络的核心概念,包括深度学习的前沿技术。
And you will have a foundation to use neural networks and deep learning to attack problems of your own devising.
并且你将拥有使用神经网络和深度学习来解决你自己发现的问题的基础。
We'll learn the core principles behind neural networks and deep learning by attacking a concrete problem: the problem of teaching a computer to recognize handwritten digits.
我们通过解决一个具体的问题:交计算机识别手写数字,来学习神经网络与深度学习后面的核心理念。
Deep learning refers to the method of training multi-layer artificial neural networks.
深度学习是指训练多层的人工神经网络的方法。
Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.
神经网络与深度学习现在为解决许多问题提供了最佳解决方案,例如图像识别、语音识别和自然语言分析。
In the recent years, evolutionary neural networks have been a new hot research. Initial research work have achieved many valuable results and bring prospect for deep application in engineer.
近几年来,进化神经网络研究已成为神经网络领域的一个新的研究热点,初步研究已经取得了许多有价值的结论和成果,为工程上的广泛深入应用带来了充满希望的前景。
In the recent years, evolutionary neural networks have been a new hot research. Initial research work have achieved many valuable results and bring prospect for deep application in engineer.
近几年来,进化神经网络研究已成为神经网络领域的一个新的研究热点,初步研究已经取得了许多有价值的结论和成果,为工程上的广泛深入应用带来了充满希望的前景。
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