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Catalogue   I Manual push to achieve logistic regression gradient descent II Classification of iris data set by logistic regression      1. Introduction to iris data set      2. What is a linear classifier      3. Main steps of designing linear classifier      4. Rough defin ...

Detailed explanation of BN core parameters of PyTorchOriginal document: https://www.yuque.com/lart/ug...BN is a common operation and module in CNN. In the specific implementation, it contains multiple parameters. This also leads to different effects under different parameter combinations.affineModify during initializationWhen fine is set to Tru ...

The task of target detection is to find all interested targets (objects) in the image and determine their categories and positions. It is one of the core problems in the field of computer vision. Target detection has been applied to many fields, such as security, unmanned sales, automatic driving and military. In many cases, the device running ...

Implementation of linear non separable support vector machine    in the article of support vector machine, we have derived the mathematical model of linear non separable support vector machine in detail, and transformed the original problem into a dual problem to be solved. Revisit the dual problem as follows: Final form of dual ...

1. Download and install opensmile Download from the official website: openSMILE - audEERING You can use it by decompressing it under windows 2. Use of opensmile Extract various audio features of sound signals, mainly low level descriptors (llds) 3. Using opensmile 3.1 direct use under Windows Run the to extract audio features in the form ...

Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) CNN: RCNN,SPPNet,Fast RCNN,Faster RCNN,YOLO V1 V2 V3,SSD,FCN,SegNet,U-Net,DeepLab V1 V2 V3,Mask RCNN Automatic driving: lane line detection, speed detection, real-time traffic tracking, video-based vehicle tracking and traffic sta ...

Implementation of nonlinear support vector machine Suppose that the nonlinear problem we face is the following two classification problem:    it requires us to find a suitable curve that can correctly distinguish red and blue sample points. There is no doubt that linear support vector machine can not solve this kind of problem. We ...

3D-SLAM self built platform active Ackerman + RS16 + LPMS_IMU LEGO_LOAM mapping Effect display: Detailed drawing (indoor + outdoor) video link: 3D-SLAM self built platform active Ackerman + RS16 + LPMS_IMU LEGO_LOAM indoor construction drawing 3D-SLAM self built platform active Ackerman + RS16 + LPMS_IMU LEGO_LOAM outdoor construction drawi ...

Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) Parallel practice of ResNet model on GPU TensorFlow distributed training: single machine multi card training MirroredStrategy, multi machine training MultiWorkerMirroredStrategy Parallel practice of ResNet model on GPU Learning o ...