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高质量源码
说明： k-means聚类算法，spectral clustering，手写数字识别，数据分类(K-means clustering algorithm, spectral clustering, handwritten number recognition, data classification)
- 2021-04-21 18:05:12下载
- 积分：1
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usrp_spectrum_sense.py.tar
提供基本的基于能量检测的频谱感知功能，需要结合软件无线电外设USRP使用(Providing basic spectrum sensing capabilities based on energy detection requires the use of software radio peripheral USRP)
- 2017-09-20 20:19:56下载
- 积分：1
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perception
说明： 基于python的感知器实现，线性二分类(linear classification based on perception,wrote in python)
- 2020-06-24 06:40:02下载
- 积分：1
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助教的Tensorflow笔记
说明： Tensorflow资料整理，系统的介绍了如何搭建神经网络模型，并讲解手写数字识别的完整实现过程(Tensorflow data processing, the system introduced how to build a neural network model, and explain the handwritten digital recognition of the complete realization process)
- 2019-12-19 17:58:32下载
- 积分：1
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《图解深度学习》+山下隆义+张弥+密码：GCEDM359
《图解深度学习》是从深度学习的发展历程讲起的，从理论和实践两个方面介绍了深度学习的各种方法，以及深度学习在图像识别等领域的应用案例。内容图文并茂，涉及神经网络、卷积神经网络、受限玻尔兹曼机、自编码器、泛化能力的提高， 并介绍了包括Theano、Pylearn2、Caffe、DIGITS、Chainer 和TensorFlow等深度学习工具的安装和使用方法。书如其名，《图解深度学习》图例非常丰富，清晰直观，适合所有对深度学习感兴趣的读者阅读("Graphic in-depth learning" starts from the development process of in-depth learning. It introduces various methods of in-depth learning from both theoretical and practical aspects, as well as application cases of in-depth learning in image recognition and other fields. The contents are full of pictures and texts, including the improvement of neural network, convolution neural network, restricted Boltzmann machine, self-encoder and generalization ability. The installation and use methods of deep learning tools including Theano, Pylearn2, Caffe, DIGITS, Chainer and TensorFlow are also introduced. As its name implies, the legend of "Graphic in-depth learning" is very rich, clear and intuitive, suitable for all readers interested in in in-depth learning to read.)
- 2020-06-25 12:20:02下载
- 积分：1
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Django测试
Django测试，Django测试Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，Django测试，
- 2022-02-25 03:55:40下载
- 积分：1
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Ensemble_Learning-master
说明： 集成的代码，可以用各种基础分类器集成，随机抽样本和随机抽特征，或者对样本或特征加权集成(The integrated code can be integrated with various basic classifiers, random samples and random features, or weighted samples or features.)
- 2020-06-24 14:00:01下载
- 积分：1
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si_testparameters
used by winfof for ssd drive
- 2017-03-01 00:23:54下载
- 积分：1
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PyQt5快速开发与实战所有程序
说明： 《PyQt5快速开发与实战》所有章节的例程(Routines for all chapters of PyQt5 Rapid Development and Practice)
- 2020-06-21 07:40:01下载
- 积分：1
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RIS+UAV+DQN-Simulation
说明： 深度增强学习优化无人机航迹, 让无人机实现通信和计算任务(UAV trajectory optimization using deep reinforcement learning)
- 2020-09-18 17:09:46下载
- 积分：1
