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Original link: http://tecdat.cn/?p=19936 Original source: Tuo end data tribal official accountIn this tutorial, you will learn how to create a neural network model in R.Neural network (or artificial neural network) has the ability to learn through samples. Artificial neural network is an information processing model inspired by biological neuro ...

PointNet + + needs to restore the down sampled points to the same number of points as the input when processing the segmentation task, so as to facilitate the prediction of each point. But in the paper, I only give a simple description and formula, which is not very easy to understand, so I record my understanding process here. 1. Purpose of F ...

Introduction to basic concepts Artificial intelligence: simple understanding is to make machines have human thinking and consciousness Three schools of artificial intelligence: Behaviorism: constructing perception control system based on CyberneticsSymbolism: Based on arithmetic logic expression, to solve a problem, first describe the pro ...

Hello, I'm classmate K! Let's move on to the last article 100 deep learning cases | day 51 - target detection algorithm (YOLOv5) (Introduction) After configuring the environment required by YOLOv5, today we try to train our data with YOLOv5. (remember to run through the introductory chapter before starting this tutorial to ensure that other en ...

Back propagation method in RNN and LSTM models, problem at loss.backward(), After updating the pytorch version, it is prone to problems. Question 1. Use loss.backward() to report an error Trying to backward through the graph a second time (or directly access saved tensors after they have already been freed). Saved intermediate values of the gr ...

Written in front: This article is some new thoughts I got after Rereading SSD (SSD: Single Shot MultiBox Detector) and fastercnn (fast r-cnn: directions real time object detection with region proposal networks), and these understandings are deeper for me. Thanks for the basic explanation from Bubbliiiing, University of science and technol ...

Train yolov4 tiny on Ubuntu 20.04 1, Data download 1.yolov4 Official download: https://github.com/AlexeyAB/darknet Network disk download link: https://pan.baidu.com/s/1HYiCANZZ4NPYFvMJ-cenFA Extraction code: 2rh0 2.yolov4-tiny.weights Official download: https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.w ...

Gesture_ Recognition (gesture recognition) 1, Project information The project is developed based on tensorflow 2.1, self built six gesture data sets, built-in image preprocessing, image widening, network model, recognition and other programs. It can help novices master how to use self-made data sets for model training, classification, and cal ...

introduction because RPN architecture RPN Generation method of AnchorHow to select anchor as proposalsFor loss calculation, you need to select positive and negative samples from anchor before calculating loss In fact, RPN itself can be used as the Head of target detection Anchor generation So how did proposal come into being? It is ...

1, Convolutional neural network CNN   The most classical convolutional neural network has three layers: Convolution LayerSampling on the Pooling Layer (Subsampling)Fully Connected Layer Calculation of convolution: Matrix multiplication with the blue matrix filter in the red box, that is: (2*1+5*0+5*1)+(2*2+3*1+4*3)+(4*1+3*1+1*2)= 35 ...