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
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
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.
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
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 data operation
Getting started and building data
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
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
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
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 . 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
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
1 tensor data operation
1.1 torch.reshape() implements data dimension change
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