AI-NN-PR List Page 81

AI-NN-PR list

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20170110_KMeans Downloaded：0: In flower dataset, a simple K-means algorithm is implemented by Java.
Update : 2025-02-07 Size : 203kb Publisher : Elay-X
SVM-w-SMO Downloaded：0: simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.
Update : 2025-02-07 Size : 49kb Publisher : brbaaa
apriori Downloaded：0: # Python 3 Implementation of Apriori algorithm This program is based on [Aaron Zira's implementation of Apriori algorithm](https://github.com/aaronzira/apriori) and is adapted for use in other python 3 programs ## Depend
Update : 2025-02-07 Size : 1.26mb Publisher : wingnut
further.pdf Downloaded：0: Mathimatics-Numerical algorithms
Update : 2025-02-07 Size : 2.75mb Publisher : fufu12345
TSP_hopfield Downloaded：0: This code can effectively solve the combinatorial optimization problem of traveling salesman problem.
Update : 2025-02-07 Size : 4kb Publisher : 吴保林
2 Downloaded：0: Hopfield neural network
Update : 2025-02-07 Size : 33kb Publisher : 麻发
mnist98 Downloaded：0: The accuracy of the improved DNN is ninety-eight percent, with annotations
Update : 2025-02-07 Size : 1kb Publisher : tominent
pyDogVsCat Downloaded：0: The recognition rate is 85%. The famous dog and dog algorithm on kaggle is very convenient for us to see the classification results. Each epch needs about 22s (GTX1050Ti 4G)
Update : 2025-02-07 Size : 1kb Publisher : AIW_thomas
Pattern Recognition and Machine Learning Downloaded：0: for machine learning
Update : 2025-02-07 Size : 7.3mb Publisher : jenny5
co-training Downloaded：0: Matlab implements co-training algorithm, data set mutiple+Features.
Update : 2025-02-07 Size : 697kb Publisher : haiyunzhangzhang
lle Downloaded：0: LLE is used to deal with dimensionality reduction of high-dimensional data. It is proved that the program runs well.
Update : 2025-02-07 Size : 1kb Publisher : YZW1014
SparseAutoencoder-master Downloaded：0: An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings. The aim of an autoencoder is to learn a representation (encoding) for a set of data,
Update : 2025-02-07 Size : 11.67mb Publisher : Null姬

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