▍1. convLSTM_minimum-master
卷积长短期机器模型用于预测空间上与时间上的值,是基于LSTM模型的改进算法(Convolutional long-term and short-term machine model is an improved algorithm based on LSTM model for predicting spatial and temporal values.)
卷积长短期机器模型用于预测空间上与时间上的值,是基于LSTM模型的改进算法(Convolutional long-term and short-term machine model is an improved algorithm based on LSTM model for predicting spatial and temporal values.)
关于各种GAN的代码实列,包括cgan,infogan,wgan等。(Code listings for various GANs, including cgan, infogan, wgan, etc.)
在python语言下,可以实现网络正则化。(In the Python language, network regularization is implemented.)
yolo v3 tensorflow源码,实现深度学习物体目标检测(Yolo V3 tensorflow source code for deep learning object detection)
机器学习的一些常用算法,用python实现的(some algorithms for machine learning)
简单程序,很能说明DQN的运行方式,通过深度网络和Qlearning的结合,训练使得最后小球能移动到最左边(Simple procedures, it can explain the way of DQN, through the combination of deep network and Qlearning, so that the last ball can move to the left.)
在CIFAR-10数据集上使用卷积神经网络进行图像分类(Image classification using convolution neural network on CIFAR-10 dataset)
中文版中有一些错误,这个版本是勘误后的版本,比如11页下面“的平方”改成了“差的平方”(There are some errors in the Chinese version. This version is an erroneous version, for example, the "square" below the 11 page is changed to "square of difference".)
语音端点监测,用于检测一个单词或一段语音结束后的静默区间,主要用于人工智能语音识别(voice detection, used to detect the symbol of finish of one word or one graph, mainly for AI speech recognition)
BiLSTM+CNN结构实现中文命名实体识别(implement Chinese NER with BiLSTM+CNN architecture)
python编写的网格搜索法,用于SVM的参数寻优(Grid search method to use SVM parameter optimization process to achieve through Python)
Apriori算法 Apriori算法常用于关联分析。关联分析又称关联规则学习,是指从大规模数据中寻找物品间的隐含关系,最有名的例子是“尿布与啤酒”(Apriori algorithm Apriori algorithm is commonly used in association analysis. Association analysis, also known as association rule learning, refers to finding hidden relationships between objects from large data. The most famous example is "diapers and beer".)
基于tensorflow框架训练识别车辆的CNN网络,文件中包含了完成的训练集及测试集。(The tensorflow framework is used to train and identify the CNN network of the vehicle. The file contains the completed training set and test set.)
简单贝叶斯的介绍和讲解,深刻理解简单的贝叶斯(Simple introduction and explanation of Bias, a deep understanding of simple Bias.)
说明: Probabilistic Programming and Bayesian Methods for Hackers是一本写给开发者的关于贝叶斯方法和概率问题的免费开源书。贝叶斯方法的用途十分广泛,在经济学上能找出一堆的例子。而在IT行业,机器学习是非常典型的一个应用。而机器学习也是本书作者写本书的一个重要的理由。 本书选择了Python作为编程语言,这一点都不奇怪,Python在科研和数据分析上的应用是非常方便和普遍的,比如大名鼎鼎的Numpy等。作者在本书中使用另一个库PyMC,它依赖于Numpy和SciPy(可选)。 如果你正从事数据分析和机器学习的研究,这是一本非常棒的书籍。它不仅介绍了贝叶斯的相关理论,告诉了我们一些这个伟大的理论没告诉我们的东西,更重要的是,他的文档基于ipython-notebook完成,这是一种输入代码实时在网页显示各种统计图的工具。图文并茂,十分生动。唯一的要求可能是需要有一定的数学功力和英语水平了。(The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three chapters on probability theory, then enters what Bayesian inference is. Unfortunately, due to mathematical intractability of most Bayesian models, the reader is only shown simple, artificial examples. This can leave the user with a so-what feeling about Bayesian inference. In fact, this was the author's own prior opinion.)
机器学习实战案例,分析股票相关基础趋势分析,来自麦子学院(The practical case of machine learning comes from the wheat Institute)
简单的遗传算法Python实现,遗传算法是一种全局搜索算法(Genetic Algorithm in python.Genetic algorithm is a global optimization search algorithm that simulates biological evolution.)
基于贝叶斯变分法的自编码器VAE,以及由此生成的一个写诗机器人。(The self encoder VAE based on Bayes variational method and a poem writing robot generated therefrom.)
基于U-net模型,分离单声道音乐纯人声(Separation of pure voice from single channel music based on U-net model)