1 introduction of BP neural network prediction algorithm
1.1 structure of neural network
The network structure of neural network consists of input layer, hidden layer and output layer. The number of hidden layers + the number of output layers = the number of layers of the neural network, that is, the number of layers of the neural network doe ...
Posted on Thu, 23 Sep 2021 11:36:27 -0400 by rocco2004
one Introduction of BP neural network prediction algorithm
1.1 introduction to the principle of BP neural network
Neural network is the basis of deep learning. It is widely used in machine learning and deep learning, such as function approximation, pattern recognition, classification model, image classification, CTR prediction based o ...
Posted on Thu, 23 Sep 2021 11:32:07 -0400 by romanali
Typical case analysis of BP neural network
[example 5-1] 60 groups of gasoline samples were scanned by Fourier near infrared transform spectrometer. The scanning range was 900 ~ 1700nm and the scanning interval was 2nm. The spectral curve of each sample contained 401 wavelength points. At the same time, the octane number content was determined ...
Posted on Thu, 23 Sep 2021 03:35:19 -0400 by northernmonkey
pytorch model container - modular construction of deep learning network
pytorch model container summary
The model containers provided by pytorch include: nn.Sequential: contains multiple network layers in order nn.ModuleList: contains multiple network layers in the form of a list nn.ModuleDict: contains multiple network layers in the fo ...
Posted on Tue, 21 Sep 2021 21:29:23 -0400 by mattcairns
[lane detection] a lane detection method based on neural network and structural constraints: ultra fast structure aware deep lane detection (ECCV 2020) Innovation: (1) compared with the method of returning a complete lane line, the method of describing the lane line in this scheme can flexibly describe the lane line with complex topology; Compa ...
Posted on Tue, 21 Sep 2021 19:34:09 -0400 by Whetto
From today on we will start a natural language processing (NLP) journey.Natural language processing enables processing, understanding and use of human language to bridge the gap between machine language and human language.
RNN (Recurrent Neural Network), or Circular Neural Network.Compared with CNN, RNN can help us to proce ...
Posted on Tue, 21 Sep 2021 12:03:23 -0400 by tlavelle
Author home page( Silicon based workshop of slow fire rock sugar): Slow fire rock sugar (Wang Wenbing) blog silicon based workshop of slow fire rock sugar _csdnblog
Website of this article: https://blog.csdn.net/HiWangWenBing/article/details/120378620
Chapter 1 Preface
Chapter 2 numerical definition of derivative
Chapter 3 numer ...
Posted on Tue, 21 Sep 2021 02:47:55 -0400 by robin
Gradient in tf
1. Concept of gradient
The difference between derivative, partial differential and gradient: derivative is a general concept, which refers to the rate of change of a function in each (or a) direction; Partial differential is the rate of change of a function in a certain direction, and gradient is the rate of change of a fun ...
Posted on Sun, 19 Sep 2021 01:33:51 -0400 by Skunkmaster
This article is for learning Datawhale 2021.9 team learning emotion analysis notes Original learning document address: https://github.com/datawhalechina/team-learning-nlp/tree/master/EmotionalAnalysis
See for baseline notes https://blog.csdn.net/weixin_43634785/article/details/120289701?spm=1001.2014.3001.5502
There are many places in baselin ...
Posted on Sat, 18 Sep 2021 12:57:26 -0400 by stukov