1. Introduction and structural parameters of BP neural network
Neural network is a common mathematical model in machine learning. It processes information by constructing a structure similar to the synaptic connection of brain nerves. In the process of applying neural network, the units dealing with information are generally divided into t ...
Posted on Tue, 07 Dec 2021 00:02:11 -0500 by Billett
Next to my last article on the use of open source machine learning: How to turn photos into cartoons, animegan2-pytorch Machine Learning Project Use | Machine Learning_ Alan's Blog - CSDN Blog
I'll continue to do a little bit of magic with the project and still turn it into a ...
Posted on Sat, 04 Dec 2021 12:30:53 -0500 by Superian
Problems in classification accuracy
If there is a cancer prediction system, input the patient's information to determine whether there is cancer. Is it reasonable to use only classification accuracy to evaluate the quality of the model? If the prediction accuracy of the model is 99.9%, can the model be considered good? If the probability of ca ...
Posted on Sat, 04 Dec 2021 01:06:04 -0500 by OmarHaydoor
Catalogue of series articles
Are there any students who have not learned the language matlab like me, but want to learn the course of intelligent optimization algorithm and matlab examples.
Basic understandingRelation and logical operationData input and outputSelect and loop statementsFunction file Matlab drawing ...
Posted on Fri, 03 Dec 2021 19:57:54 -0500 by mihomes
I'm a programming Xiaobai. Although the registration time is long, I'm not engaged in coding. I began to teach myself Python in order to learn AI. I usually knock the code according to the book, but I don't have a deep understanding. Now I want to study chatbot and find that my coding level needs to be strengthened, so I open this s ...
Posted on Fri, 03 Dec 2021 14:50:14 -0500 by dbakker
preface1, What is pandas?2, Use steps
1. Import and storage2. Read in datasummary
μ C/OS-II, provided by Micrium, is a portable, curable, tailorable, preemptive multitasking real-time core. It is suitable for a variety of microprocessors, microcontrollers and digital processing chips (it has been ...
Posted on Fri, 03 Dec 2021 13:56:48 -0500 by kh411dz
Recurrent neural network (RNN) is designed based on the recursive nature of sequential data (such as language, speech and time series). It is a feedback type of neural network. Its structure includes loop and self repetition, so it is called "loop". It is specifically used to process sequence data, such as generating text word by word ...
Posted on Wed, 01 Dec 2021 21:03:27 -0500 by egpis
Bayesian classifier for text classification
Text classification is not only a large module in modern machine learning applications, but also one of the foundations of natural language processing. We can process text data into digital data, and then use Bayes to help us judge a paragraph, or the topic classification, emotional tendency, and eve ...
Posted on Wed, 01 Dec 2021 20:33:05 -0500 by Decipher
Data usage: Bimonthly data generation and its common algorithms (I)_ Anti hole hamster blog - CSDN blog Data in the article
(1) Least squares:
The optimal parameters are obtained by matrix solution. Specifically, solving B is the best solution we need. X is the corresponding data and Y is the corres ...
Posted on Wed, 01 Dec 2021 19:40:51 -0500 by ozfred
[source code analysis] PyTorch distributed (12) -- distributed dataparallel forward propagation
The previous article has introduced how to build Reducer and several important scenarios. This article will analyze how Reducer realizes forward propagation.
Other articles in this series are as follows:
Automatic differentiation of dee ...
Posted on Wed, 01 Dec 2021 05:22:24 -0500 by Bob_PHP_Builder