## Introduction to neural network quantization -- quantitative perception training

This article begins with the official account of "AI little boy".
Last article This paper introduces the basic process of post training quantization, and demonstrates the simplest post training quantization algorithm with pytorch.
Although post training quantization is easy to operate, most reasoning frameworks provide such off-line ...

Posted by **razmon** on *Thu, 10 Mar 2022 02:08:15 +0100*

## python data analysis tool

python data analysis tool
The data analysis function of python itself is not strong, so we need to install some third-party extension libraries to enhance its corresponding functions.
Extension library related to python data analysis and mining;
expanded memory bankbrief introductionNumPyProvide array support and corresponding efficien ...

Posted by **MissiCoola** on *Mon, 07 Mar 2022 12:37:01 +0100*

## Detailed explanation of word vector generation (NNLM) based on neural network language model

I hope to take notes to record what I have learned, and I hope it can help the same beginner. I also hope that the big guys can help correct the error ~ infringement legislation and deletion.
catalogue
1, Network structure analysis of NNLM
2, Code implementation of NNLM
1, Network structure analysis of NNLM
Neural network language model ...

Posted by **harty83** on *Sat, 05 Mar 2022 12:24:33 +0100*

## AI + wireless communication - Summary of Top7 (Baseline)

Team Introduction
The name of our team is Baseline. Because we share Baseline, we call our team Baseline.
Captain: Fang Xi is from Shanghai Jiaotong University, the third graduate student.
Team member: LV Xiaoxin from Netease, AI Engineer
Team member: Wang Hao is from Beijing Xinghe bright spot, software R & D
Team member: Yang Xinda i ...

Posted by **frosty1433** on *Sat, 05 Mar 2022 02:14:57 +0100*

## pytorch tensor data basic operation

pytorch data operation
Getting started and building data
Guide Package
import torch
Create a row vector (a special tensor) What is a tensor: a tensor represents an array of values that may have multiple dimensions. A tensor with one axis corresponds to a vector in mathematics; A tensor with two axes corresponds to a mathematical matrix; Te ...

Posted by **boardy** on *Fri, 04 Mar 2022 20:16:55 +0100*

## Introduction to emnist dataset code of federal learning classification

Project introduction
Federated learning algorithm is used to classify emnist data sets.
First of all, we should clarify a knowledge point, which is the modifier @ TFF tf_ Calculation and @ TFF federated_ The difference between computation:
tensorflow_ The federated (TFF) operation deals with federated values;Each Federation value has a f ...

Posted by **jmandas** on *Fri, 04 Mar 2022 03:28:02 +0100*

## Interpretation of crowd counting [can] (context aware crowd counting) code

The code reproduction has been completed before, and I will also part in Shanghai tech_ A_ Final and part_ B_ The final dataset results came out. Now do a detailed interpretation of the code to deepen your understanding. If there is anything wrong, please give us more advice!! (this article has read this paper by default and has a certain under ...

Posted by **biannucci** on *Fri, 04 Mar 2022 00:06:12 +0100*

## Laser fringe center extraction -- template matching method python

Template matching method
Directional template method is a method proposed by Hu bin and others to detect the fringe center of structured light by using variable directional template. It is an improved algorithm based on gray center of gravity method [5]. When the linear structured light is projected onto the rough object material surface, ...

Posted by **FeeBle** on *Thu, 03 Mar 2022 14:25:56 +0100*

## [SRM neuron model] Analyze SRM neurons with code

Before parsing the code, let's now look at the SRM model. The first function represents the shape a spike should have. Where tf is the time of the last pulse. In the second function, Iext describes the effect of all presynaptic pulse times on membrane potential. The third function should be well understood, which is the voltage of a resting po ...

Posted by **gukii** on *Wed, 02 Mar 2022 05:39:07 +0100*

## Pytrch deep learning and graph Neural Network Practice Series_ 04 Pytorch quick start

1 tensor data operation
1.1 torch.reshape() implements data dimension change
import torch
a = torch.tensor([[1,2],[3,4]])
print(torch.reshape(a,(1,-1))) # It is transformed into a tensor with only one row of data, and the parameter - 1 indicates automatic calculation
# tensor([[1, 2, 3, 4]])
print(a.reshape((1,-1))) # # It is transformed into ...

Posted by **schme16** on *Tue, 01 Mar 2022 14:19:48 +0100*