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。
This book will teach you many of the core concepts behind 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。
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.
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。
The purpose of this book is to help you master the core concepts of neural networks, including modern techniques for deep learning.
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。
And you will have a foundation to use neural networks and deep learning to attack problems of your own devising.
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。
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.
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。
Generally speaking, it is the way a computer imitates the human brain to learn, judge and make decisions using deep neural networks.
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。
Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.
深度学习是指训练多层的人工神经网络的方法。
Deep learning refers to the method of training multi-layer artificial neural networks.
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。
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。
After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.
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