For the complete code used in this blog, please move to: My GitHub: https://github.com/qingyujean/Magic-NLPer , ask for praise, stars and encouragement~~~
Integrated Learning Series:
Summary of integrated learning principles (AdaBoost & lightgbm demo) Summary of gradient lifting tree (GBDT) principle XGBoost use Summary of Random Fore ...
Posted by Dillenger on Mon, 18 Apr 2022 22:10:17 +0300
A simple neural network model is built using Python, and handwritten digits are recognized.
1. Front work
1.1 environment configuration
The handwritten numeral character set built in scikit learn library is used as the data set of this paper. Scikit learn library is a classic machine learning library. Its library and other dependent librarie ...
Posted by shadypalm88 on Mon, 18 Apr 2022 15:01:19 +0300
Numpy study notes
I. Numpy data type
1 Python internal integer
Compared with C language, variables in Python do not need to declare variable types before assignment, and can be repeatedly assigned to data of different data types. The reason is that the data structure in Python is different from that in C language. Take long integer as an ...
Posted by will83 on Mon, 18 Apr 2022 11:27:18 +0300
code: GitHub - Meituan-AutoML/Twins: Two simple and effective designs of vision transformer, which is on par with the Swin transformerTwo simple and effective designs of vision transformer, which is on par with the Swin transformer - GitHub - Meituan-AutoML/Twins: Two simple and effective designs of vi ...
Posted by devilincarnated on Mon, 18 Apr 2022 08:35:36 +0300
Learning notes of the second edition of Li Hang's statistical learning methods
Classification algorithmBelongs to linear modelThe graph is an S-shaped curve, monotonically increasing, and the definition domain is (− ∞, + ∞) and the value domain is (0,1) Logistic regression compares the size of two condition ...
Posted by Placebo on Sun, 17 Apr 2022 09:48:54 +0300
Introduction to data set
After learning the theory of deep learning, we should start code practice, which is basically divided into data reading, data preprocessing (enhancement), model construction and training
First, let's introduce the data set. The data set used this time is CIFAR10, which is a classic 10 classification color picture ...
Posted by ShadowIce on Sun, 17 Apr 2022 05:45:23 +0300
Here, we will explore the construction of circular neural network (RNN) for music generation. We will train a model to learn the pattern in the original score of [ABC notation], and then use the model to generate new music.
1. On ABC notation
For an overview of ABC notation, you can check the following website.
What is ABC notat ...
Posted by johnseito on Sun, 17 Apr 2022 01:08:40 +0300
Machine learning series - SVD
SVD is Singular value decomposition.
An important decomposition form in linear algebra. The special meaning of its matrix can be used to deal with linear correlation. For example, in natural language processing, SVD method can be used for news classification, and good results have been achieved. The specific proc ...
Posted by harkonenn on Sat, 16 Apr 2022 04:31:52 +0300
Boltzmann Boltzmann machine
Based on the idea of simulated annealing, Hinton and Ackley introduced random mechanism into Hopfield model and proposed Boltzmann machine.
Like Hopfield model, the idea of Boltzmann machine is also the idea of energy. Hopfield model is a definite mechanism when calculating the state transition. Boltzmann machine i ...
Posted by joshuamd3 on Sat, 16 Apr 2022 04:28:52 +0300
To learn PyTorch, you need to install it first. The installation of PyTorch is relatively simple. If you won't, you can go directly to its official website, I'm the way to the official website , click and pull down to see the following picture: Most people will install the following version according to the type of machin ...
Posted by Ulujain on Sat, 16 Apr 2022 00:17:10 +0300