[Baidu AI Studio] MarTech Challenge click anti fraud forecast

background Advertising fraud is one of the important challenges that digital marketing needs to face. Click fraud will waste advertisers a lot of money and mislead click data. The competition provided about 500000 hits. Special attention: we simulated the data, hid the meaning of some features, and desensitized them. Please predict whether th ...

Added by shellyrobson on Mon, 03 Jan 2022 11:40:44 +0200

QT GUI programming!

1, QT basis 1.1 introduction to QT 1.1.1. What is QT A bunch of C++/python class libraries (GUI classes, network,...)Free open source 1.1.2 QT characteristics: Excellent cross platform characteristics: Qt supports the following operating systems: Windows, Linux, Solaris, sun0s, FreebSD, BSD/S, SCO, AIX, 0S390, QNX, android, etcobject- ...

Added by aladin13 on Mon, 03 Jan 2022 05:57:34 +0200

On knowledge base question answering system (KBQA)

1. Project introduction 1.1 what is KBQA? This project aims to realize a simple question answering system based on knowledge base. Under the existing knowledge map, the system can complete the semantic understanding of simple questions, automatic retrieval of knowledge, and return the answers of questions. The traditional question answering ...

Added by firmolari on Mon, 03 Jan 2022 04:07:17 +0200

Darknet evaluates the performance of the trained network

To train a network, we need to evaluate the network, and think about why and how to optimize the network according to the evaluation results. This is a closed loop. How to evaluate the trained network First, a parameter of the network is the loss value, which reflects the gap between the results obtained by your trained network and the real v ...

Added by benphelps on Mon, 03 Jan 2022 03:03:38 +0200

Notes on Lesson 3 of AI talent Creation Camp of flying oar pilot group

Feeling after class The course is getting more and more difficult. It's a little difficult to keep up. However, thanks to the leaders in the group and various documents of the propeller platform, many difficulties were solved Job completion record Make dataset The data set I made before was too small and the training effect was very poor, s ...

Added by rathersurf on Sun, 02 Jan 2022 23:19:55 +0200

Graduation project records -yolov5 the whole process of training your own data set (from data set annotation to final picture test)

2022.1.2 records: 1. Dimension dataset The software I use to label the dataset here is labelImg, labellmg download link I put down the latest version. Originally, I wanted to mark 1000 pieces yesterday, but I was so tired. I marked 50 pieces for each signal, a total of 200 pieces. Before labeling, you need to create two folders like this ...

Added by kubak on Sun, 02 Jan 2022 20:40:12 +0200

Deep learning: GooLeNet for image classification

1. Introduction    the name of googlenet is not googlenet, but googlenet. This is to pay tribute to LeNet. Googlenet and AlexNet/VGGNet, which rely on deepening the depth of the network structure, are not exactly the same. Googlenet makes structural innovation while adding depth, and introduces a structure called Inception to replace ...

Added by nosheep on Sun, 02 Jan 2022 15:27:05 +0200

SMOKE monocular camera 3D target detection [environment construction]

preface SMOKE is a real-time monocular 3D object detector for automatic driving. Why pay attention to this article? This is because the obstacle perception of Baidu Apollo 7.0 camera released these two days is also improved based on this model; So it made me interested. Paper name: smoke: single stage monolithic 3D object detection via keynot ...

Added by ayed on Sun, 02 Jan 2022 12:23:56 +0200

Basic functions of processing tensors in 5 PyTorch

Basic functions of processing tensors in 5 PyTorchEvery beginner of deep learning should know these five basic functions of pytoch.Being able to construct neural networks in an accurate and effective way is one of the most sought after skills of recruiters in deep learning engineers. PyTorch is a Python library mainly used for deep learning. On ...

Added by Floodboy on Sun, 02 Jan 2022 11:42:08 +0200

[model reasoning] quantization implementation share 3: explain the implementation of ACIQ symmetric quantization algorithm in detail

Welcome to my official account, reply to 001 Google programming specification.  O_o   >_<   o_O   O_o   ~_~   o_O   Hello, I'm Jizhi horizon. This paper analyzes the implementation of ACIQ symmetric quantization algorithm, taking Tengine's implementation as an example.  this is the third part of quantitative implementation. Ther ...

Added by Helios on Sun, 02 Jan 2022 11:27:53 +0200