• Spring boot deployment deep learning model (Java / Python)


    Why use Java framework spring boot to deploy deep learning model After training some deep learning models earlier, we encountered some problems in model deployment. First of all, many existing businesses are implemented in Java, such as budget control, user quota, etc. direct interaction between image recognition and these systems will cause code intrusion and […]

  • Understanding neural networks from the perspective of regression


    This article first appeared on my blog https://huanghaozi.cn , original link This article is automatically published by artipub, a multi service platform In this paper, a neural network application example is presented——Play Minesweeper with programFrom what you are familiar withregressionThis paper introduces the principle of some neural networks. It should be noted that,As the author […]

  • Technical scheme of KDD cup 2020 autotraph champion and its practice in meituan


    background Sikdm is the International Conference on data mining. KDD cup is a top international event in the field of data mining research sponsored by SIGKDD. Since 1997, it has been held once a year and is the most influential event in the field of data mining. The competition is open to both business and […]

  • Practical hyperparametric optimization


    An introduction to how to fine tune machines and deep learning models using the following techniques: random search, automatic hyper parameter tuning, and artificial neural network tuning. introduce The machine learning model consists of two different types of parameters Hyper parameter = is all the parameters that the user can set arbitrarily before starting training […]

  • Understanding tensorflow


    Deep learning imitates the concept of biological neurons. You can imagine using a large number of neurons to perceive the external world through various stimuli, so as to establish a model of the external world. Let’s give you a data pair: x y -1 -3 0 -1 1 1 2 3 3 5 4 7 […]

  • Embedded system: SFDP: a common factor that causes serial nor flash to download / start normally under i.mxrt


    Hello, everyone. I’m a ruffian. I’m a real technical ruffian. What ruffian Heng introduced to you today isSFDP: a common factor that causes serial nor flash to fail to download / start normally under i.mxrt。 i. It has been more than two years since the launch of mxrt Series MCU, and more and more customer […]

  • Jenkins — why continuous integration?


    1、 Development model 1. Waterfall development model: process linear irreversible development model Advantages: 1) easy to understand2) after the completion of the current stage, we only need to pay attention to the subsequent stage3) provide inspection nodes by stages for the project inferiority: 1) the division of each stage is completely fixed, and a large […]

  • July 2020 AWS highlights of AI content


    If you want to stay in the air-conditioned room without going anywhere, you may as well take this opportunity to learn technology. Maybe it can help you solve the difficult problems in your work. In July 2020, we continued to share with you a large number of technical articles on Amazon Web services (AWS), such […]

  • Python builds multiple model instances


    Python builds a dual model The first part: construct “Se”_ Resnet152 “,” dpn92() “dual model import numpy as np from functools import partial import torch from torch import nn import torch.nn.functional as F from torch.optim import SGD,Adam from torch.autograd import Variable from torch.utils.data import Dataset, DataLoader from torch.optim.optimizer import Optimizer import torchvision from torchvision import […]

  • I had a production accident with long type. I should be careful when writing code


    Yesterday, I found that a program in the online trial run period was hung up, and I usually ran well. I checked the log because I ran a top-level beauty brand shop with nearly ten million members, and I suddenly burst 128G of memory. At that time, I ran two tasks in parallel. I had […]

  • Amazon sagemaker: marking suspicious medical insurance claims


    We have published a number of technical articles about Amazon sagemaker. Today, we might as well take an example to see how simple and powerful the service is when it is used for machine learning. Let’s try to detect insurance fraud with sage maker. background according toNational Health Insurance anti fraud Association(nhcaa) estimates that medical […]

  • C ා face recognition database 0.1


    [next ViewFaceCore 0.2] . net face recognition library viewfacecore This is a face recognition library based on seetaface6. Net platformThis is a very simple face recognition libraryThis is a library based on. Net standard 2.0You can publish this project to Nu libraryThis project is free for commercial use A kind of Open source Open source […]