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。
Most of the ideas and algorithms can be applied to other pattern recognition problems.
本文的很多设计思想和算法可以用于许多其他识别问题。
For any kinds of pattern recognition problems, there are some values of application or reference in it.
对于各种模式识别的情况，它都具有一定的实用和参考价值。
The proposed approach in this paper offers a great potential for solving difficult handwriting character recognition problems under reasonable assumptions.
本文用到的方法对于在合理的模型假设下解决手写字符识别问题呈现了很大的潜力。
Many practical pattern recognition problems, such as recognition of handwritten Chinese characters belong to the pattern recognition problems of large scale.
许多实际的模式识别问题如对手写体汉字的识别，都属于大规模的模式识别问题。
So, we study the pattern recognition problems from the view of uncertainty reasoning and reveal the nature of various pattern recognition methods, which will be significant.
因此，我们从不确定性推理的角度研究模式识别问题，从而揭示各种模式识别方法的统一的本质，就显得非常有意义。
Tightly based on "Project 973", target recognition problems basing on High Resolution Radar Profile (HRRP) are discussed in the thesis, and two novel approaches of target recognition are proposed.
本文紧密结合“973项目”，研究高分辨一维距离像的雷达目标识别问题，提出了两种目标识别方法。
Tightly based on "Project 973", target recognition problems basing on High Resolution Radar Profile (HRRP) are discussed in the thesis, and two novel approaches of target recognition are proposed.
本文紧密结合“973项目”，研究高分辨一维距离像的雷达目标识别问题，提出了两种目标识别方法。
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