11 ingenious and universal "small" plug-ins in CNN network design
introduction
This article is reproduced in: (with code) real plug and play! Inventory 11 kinds of exquisite and common "small" plug-ins in CNN network design
The so-called "plug-in" is to add to the icing on the cake and be easy to implant and land, that is, the real plug and play. The "plug-ins" reviewed in this ...
Added by 448191 on Mon, 28 Feb 2022 17:06:20 +0200
[deep learning and effective alchemy] multi GPU tutorial, comparison between DP and DDP, ray multi-threaded parallel processing, etc. [analysis of low GPU utilization]
⬅️ preface
The main reason is that the last time server12 was pulled full by one of its own train direct threads (yes... server8 was also pulled full by emm. I didn't find out at first that it was me)
Live situation
Later, Liu Suo told me that let me see if there are too many processes in the dataset. In this way, the utilization r ...
Added by intodesi on Mon, 28 Feb 2022 14:51:09 +0200
R language ARMA-GARCH-COPULA model and financial time series case
Original link: http://tecdat.cn/?p=3385Original source: Tuo end data tribal official accountRecently, I was asked to write a copulas survey on financial time series. Obtain the description of various models from the read data, including some graphics and statistical output.> oil = read.xlsx(temp,sheetName ="DATA",dec =",")Then we can draw ...
Added by T_Hayden on Mon, 28 Feb 2022 11:09:42 +0200
TensorFlow2 self study notes
0. Preface
Tensorflow is an open source machine learning framework based on Python. It is developed by Google and has rich applications in graphics classification, audio processing, recommendation system and natural language processing. It is one of the most popular machine learning frameworks at present. TensorFlow2.0 was released in Octobe ...
Added by jbille on Sun, 27 Feb 2022 18:46:45 +0200
Study notes on lightweight network structure mobilenetv1, v2 and v3
Today, I'm going to take a simple note of mobilenet. I'm afraid I'll forget the relevant contents of mobilenet. First of all, we need to know that mobilenet is a model framework that can be used on embedded devices. Therefore, its biggest advantage is that it has less parameters, and we still need to ensure that the accuracy of computer vision ...
Added by sunnyside on Sun, 27 Feb 2022 02:07:34 +0200
Kaggle Titanic
Kaggle Titanic (1)
Question: On April 15, 1912, the Titanic sank, and everyone on board did not have enough lifeboats, resulting in the death of 1502 of the 2224 passengers and crew. Although there are some luck factors in surviving, it seems that some people are more likely to survive than others.
Build a prediction model to answer the quest ...
Added by lesmith on Sat, 26 Feb 2022 12:22:42 +0200
Artificial intelligence crosstalk generation based on PaddleHUB
🧡 Fast dialog generation based on PaddleHUB -- Taking crosstalk support generator as an example
Link from AI Studio project https://aistudio.baidu.com/aistudio/projectdetail/3502884
stay Generate military training impressions using PaddleHub In the project, the generation of style text is realized based on PaddleHub, which is based on padd ...
Added by gkelley091565 on Fri, 25 Feb 2022 17:34:36 +0200
Use PyTorch to build ResNet50 network
Friends who have seen my previous ResNet18 and ResNet34 may wonder whether the method of building 18 and 34 layers can be directly used in the construction of ResNet above 50 layers. I have also tried. However, the network construction above ResNet50 is not like 18 to 34 layers, which can be completed by simply modifying the number of convoluti ...
Added by bateman on Thu, 24 Feb 2022 18:33:46 +0200
Xi Supplementary knowledge of credit card identification project
Supplementary knowledge of credit card identification project
1. Template matching
The principle of template matching is similar to that of convolution. The template slides from the origin on the original image to calculate the difference between the template and (where the image is covered by the template). There are six calculation methods ...
Added by Brendan on Thu, 24 Feb 2022 13:26:25 +0200
Two methods: building neural network eight strand six step method
The difference between the two methods: Sequential network building method. The upper output is the Sequential network structure of the lower input, but it is impossible to write some non Sequential network structures with hops. At this time, we can choose to use class to build a neural network structure, and class can be used to encapsulate a ...
Added by nepton on Wed, 23 Feb 2022 16:42:38 +0200