Programmer Think

preface This article is based on KITTI data set training yolov5. Friends can divide the data set completely according to my steps (strictly follow the directory structure I listed, there will be no problem), so as to successfully train yolov5 in KITTI. If you strictly follow my directory structure, you don't need to modify any sentence in the ...

1, Competition introduction Kaggle's table amusement park will have new competitions on the 1st of each month since 2021. What small gifts should the prizes be? The official meaning is to hold competitions for beginners. However, here you can see the thinking ideas and handling methods of experts, which is indeed a lot of income. Tabular Play ...

reference resources Target detection in bad weather - cloud + community - Tencent cloud 1. Data based approach (1),Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming Regardless of image distortion or weather conditions, the ability to detect objects is crucial for practical applications of deep learning suc ...

Python implementation of k-nearest neighbor algorithm 1, Overview K-nearest neighbor algorithm, also known as KNN algorithm, is the simplest algorithm in data mining technology. Working principle of KNN: given a training dataset with known label category, after inputting new data without label, find K instances closest to the new data in the ...

Neural network and back propagation algorithm 4.1 cost function    in the previous section, we learned the basic structure of neural network and forward propagation algorithm. In the supporting operation, the weights of neural network have been given, but how can we train the appropriate weights ourselves? Therefore, we need to ...

1, Generator (1) lamda python lambda function is also called anonymous function, that is, the function has no specific name. Compared with ordinary functions, lambda just omits the function name. At the same time, such anonymous functions cannot be shared and called elsewhere. In fact, you're right. Lambda really doesn't play an earth shaki ...

Activation function: The principle of activation layer is to add nonlinear activation function after the output of other layers to increase the nonlinear ability of the network and improve the ability of neural network to fit complex functions. The selection of activation function is very important for the training of neural network. The commo ...

Opening remarks Survival analysis accounts for a large proportion in medical research, and when conducting survival analysis, R language, SPSS and other tools are often used for survival analysis, while Python is rarely used for survival analysis. Because we found a python version of survival analysis tool - lifelines, this library has provi ...

reasoning This section is the last section of the initial tutorial. In order to better adapt to different reasoning devices, reasoning is divided into 1) shengteng AI processor reasoning and 2) mobile device reasoning. Shengteng AI processor reasoning 1 Overview Ascend AI processor is an energy-efficient and highly integrated AI processor f ...

faiss is a framework that provides efficient similarity search and clustering for dense vectors. The following is the demo provided on the official website # 1. First, build training data and test data import numpy as np d = 64 # dimension nb = 100000 # database size nq = 10000 # nb of queries np.random.seed(1024) # make reproduciable xb ...