[Machine Learning] kaggle Competition Killer - Model Fusion

More code: Gitee homepage: https://gitee.com/GZHzzz Blog homepage: CSDN: https://blog.csdn.net/gzhzzaa 0 is written in front This article does not involve the depth of each algorithm principle level, the purpose is to help understand these model fusion methods from a macro perspective 1 Voting Starting from the simplest Voting, this ...

Posted by MHz on Tue, 03 May 2022 16:52:32 +0300

Analyze what netizens of exciting offer2 are roast about?

Variety shows are not only a way to relax after a hard day, but also our talk after dinner. Looking at their favorite variety shows, time is beautiful enough. And "exciting offer" is a good variety choice. Some people say it makes me feel inferior, and I think it's very interesting. "Exciting offer" has been broadcast for t ...

Posted by dustbuster on Tue, 03 May 2022 03:38:30 +0300

Li Mu hands-on learning deep learning V2-NiN model and code implementation

1. NiN LeNet, AlexNet and VGG all share a common design pattern: extract spatial structure features through a series of convolutional layers and pooling layers; and then process the representation of features through fully connected layers. The improvement of LeNet by AlexNet and VGG mainly lies in how to expand and deepen these two modules. ...

Posted by phpshift on Tue, 03 May 2022 01:39:18 +0300

[python machine learning basic tutorial]

Supervised learning Supervised Learning Algorithms Naive Bayes Classifier Naive Bayes classifiers learn parameters by looking at each feature individually and collect simple class statistics from each feature. Three Naive Bayes classifiers are implemented in scikit-learn: GaussianNB, BernoulliNB, and MultinomialNB. GaussianNB can be applied ...

Posted by atrum on Sun, 01 May 2022 21:50:33 +0300

Deep learning classic introduction project - handwritten numeral recognition

Handwritten numeral recognition task Handwritten numeral recognition solves the problem of postal code recognition in postal system. The commonly used data set for handwritten numeral recognition is mnist, which is a classic data set for entry-level machine learning and deep learning. MNIST datasets are available in http://yann.lecun.com/ ...

Posted by rosieraz on Sun, 01 May 2022 13:29:13 +0300

Practical operation -- cloud deep learning workstation configuration guide

Reprint address: https://zhuanlan.zhihu.com/p/336429888 https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247527704&idx=1&sn=c1234acc04c8f011c1786135a520c336&chksm=ec1c80e1db6b09f751a32bd4160120a1ddfd099c414c1e05a9a564d0224a51e9eca4ebfdd640&mpshare=1&scene=23&srcid=1222RYsP3MA07RymDXXlUioT&sharer_sharetime= ...

Posted by twister47 on Sat, 30 Apr 2022 20:52:28 +0300

Train of MMdetection Detailed explanation of Py source code

catalogue 1, Tools / train py 2, Detailed source code 3, Detailed explanation of core functions (1) build_detector(mmdet/models/builder.py) (2) build_dataset(mmdet/datasets/builder) (3) train_detector(mmdet/apis/train.py) (4) set_random_seed: (5) get_root_logger: 1, Tools / train py Optional parameters: # =========== optional ...

Posted by voitek on Sat, 30 Apr 2022 15:49:21 +0300

Record local installation oushudb - install zk and hdfs

Because the company is busy recently, I forgot to update it. Then I talked about it in the last article, The last article said This article describes some preparations for installing oushudb. This article mainly talks about the installation of corresponding components before installing oushudb. 1, Zookeper installation 1. Create a zkhostfile c ...

Posted by Chips on Sat, 30 Apr 2022 00:19:07 +0300

Shell crawling

I've been learning to write crawlers in python for several days. Let's write a small crawler to verify the learning results. This article is suitable for Xiaobai to eat. You guys want to have fun~ Tip: This article is for learning and communication only, do not use it for illegal purposes!!! The text and pictures of this article come f ...

Posted by dickey on Fri, 29 Apr 2022 04:01:20 +0300

Neural network -- Understanding BP neural network from code

As soon as we mention the back-propagation algorithm, we unconsciously think of the derivation of random gradient descent, sigmoid activation function and the back-propagation law that makes the head bigger. Even after learning the principle of back-propagation neural network, we are still confused. Here, we recommend a textbook Python neural n ...

Posted by kendall on Thu, 28 Apr 2022 16:47:15 +0300