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0. Download Code using Git Installation and use of Git: https://blog.csdn.net/qq_44747572/article/details/121006841Clone Code: Pytorch version 1.0.0 source code: https://github.com/jwyang/faster-rcnn.pytorch/tree/pytorch-1.0 Download the zip and unzip it in the specified folder: 1. Data preparation Switch the path to fast-rcnn.pytorch ...

Deep learning_ Perceptron Reference books: introduction to deep learning_ Theory and Implementation Based on python 1. Perceptron 1.1 principle: receive multiple input signals and output one signal 1.2 diagram: 1.3 diagram: the above figure shows a perceptron receiving two input signals, X1 and X2 are input signals, y are output signals ...

For your reference and study, if you have any questions, welcome to exchange and correct!   first, there are installed anaconda, pytorch 1.0 and cuda on the laboratory server. First, apply for an account with the administrator and enter the account folder according to the account password. 1. Remote connection server ssh(VScode) I ...

brief introduction Although logical regression bears the name of regression, it actually does classification. The general form of regression can be expressed as: f ( x ) = ...

Optimal transmission code reading at the back end superglue.py Acquisition of descriptor and location information The above is very detailed. You can clearly see the process of the whole network here In the superblue code, the author only provided the trained weight file and network process, but the training details were not given in the cod ...

Reproduction of paper TUPE After the original attention calculation formula is divided into four parts, it is found that the middle two parts (word to position, position to word) have no obvious effect on recognition. In the first part (word to word) and the fourth part, the paper proposes to separate the location information from the word emb ...

Tensorflow 2.0 - FaceNet network principle and code analysis (I) - model principle and backbone network FaceNet is actually a general face recognition system described in the preface: deep convolution neural network (CNN) is used to map images to European space. Spatial distance is directly related to image similarity: different images of the ...

catalogue 1, Read file 2, Neural network initialization   1. Build neural network 2. GPU acceleration 3, Turn on the camera and read the image by frame 4, Input to neural network 5, Obtain neural network output 1. Get the name of each layer 2. Get output layer name 3. Get output layer image (content) 6, Frame object 1. Get all ...

6.2.1 data set introduction The data used in this OCR experiment is based on Task 4.3:Word Recognition in icdar2015 incident scene text. This is a word recognition task. Remove some pictures to simplify the difficulty of this experiment. The data set contains many text areas in natural scene images. The training set in the original data co ...

Reference book "deep learning practice" by Yang Yun and Du Fei softmax implementation exercise In the exercises in this chapter, we will gradually complete: 1. Be familiar with using CIFAR-10 dataset2. Code softmax_ loss_ The naive function uses an explicit loop to calculate the loss function and the gradient3. Code softmax_ loss_ ...