Programmer Think

1, VGG network VGG model is the second place in the 2014 ILSVRC competition, and the first place is GoogLeNet . But the VGG model works in multiple Transfer learning The performance in the task is better than Google net. VGG is a network developed from Alexnet. VGG has 19 layers (16 + 3) and five convolutions. Each convolution is followed by ...

1. Project source (1) Thesis title The reproduced paper: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks , the original author implemented the algorithm using Matlab. (2) Achieve goals The task of this time is based on the pytoch implementation of this paper, which is reproduced using Baidu paste past ...

The title is well chosen, and gentlemen are indispensable. A good title can bring more readers. The title is the first thing a potential audience sees before deciding whether to read an article. As a data scientist, I decided to make a model to help me generate these titles using GPT2. data I made a csv file that contains my in medium The bes ...

catalogue 1. Use TF Function into tensorflow function 2. Use decorator to convert python function into function in tensorflow 3. Show the function structure of tensorflow 4. Processing method of variables in Python function 5. Limit the input type of the function 5.1 why do you want to limit the type of function input parameters? 5.2} us ...

1, Introduction 1 threshold The simplest way to block an image is to set a threshold to binarize the image. How should we choose this threshold For the image with obvious boundary in the histogram of the image, we can easily find this threshold, but if the boundary of the histogram of the image is not obvious, it will become very difficult to ...

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 KL symmetric quantization algorithm, taking Tengine's implementation as an example.  an article has been written earlier< [model reasoning] qua ...

Introduction: Summarize the basic network structure of AlexNet. Because the computing power required in the implementation of this network is relatively large. Again, it was not tested. Key words: AlexNet, Paddle   §01 AlexNet 1.1 INTRODUCTION    AlexNet was designed by Hinton, the winner of the 2012 ImageNet compe ...

1, Introduction The detection of pavement cracks is an important part of expressway pavement disease maintenance and management. In recent years, pavement crack automatic detection technology has been widely used. Due to the complexity of pavement crack image, the detection algorithm directly affects the accuracy of detection results. Therefor ...

Deep learning image classification (11) mobile netv2 network structure In this section, learn about the network structure of MobileNetV2. Learning video from Bilibili , part of the reference description is derived from knowhow Explain MobileNetV2 in detail. 1. Preface MobileNetV2 was proposed by the google team in 2018. Compared with ...

Deep learning - PaddleOCR environment installation PaddleOCR environment installation Official documents: https://gitee.com/paddlepaddle/PaddleOCR/blob/develop/doc/doc_ch/installation.md Note: it is OK to install here, but the old version is installed. express setup According to the document, we need the following environment dock ...