Programming VIP

be based on Estimation of battery SOH based on LSTM neural network    unlike BP neural network, RNN network not only considers the input of the previous time, but also gives the network the ability to remember the information of the previous time. Although RNN network has high accuracy, it has the problem of gradient disappe ...

This note is based on Small mound teaching video The notes are detailed and not boring. They are recommended to students who want to learn target detection. The following personal notes are for your reference. If there are errors, please correct them! Target detection: location + Category Face detection: face target Text detection: text ta ...

Creation of super large data set class Previously, we only touched on data sets that can store all data in memory. The data set classes corresponding to these data sets load all data into memory when creating objects. However, if the data set is super large, it is difficult for us to have enough memory to store all the data completely. Therefo ...

Preface To understand what generates an antagonistic network, first explain supervised learning and unsupervised learning: Supervised learning: Machine learning based on a large number of labeled training sets and test sets, such as a picture classifier that requires a series of pictures and corresponding labels ("cat", "dog ...

The position of yolo Series in the field of target detection goes without saying. There is a code for training yolov5 implemented by pytorch on github. This paper will use its own data to train a yolov5 model. Reference code address https://github.com/ultralytics/yolov5/tags Note that here we select v1.0 under tags 0 version for training, d ...

preface Thesis address: arxiv Code address: github Receiver: NeurIPS 2021 Series articles Transformer backbone - PVT_V1 nanny level resolution Transformer backbone - PVT_V2 level parsing Transformer backbone network -- T2T-ViT nanny level analysis Transformer backbone network -- TNT nanny level analysis Continuous update! motivation The au ...

1, References TensorFlow 2.0 - tf.saved_model.save model export Use SavedModel format 2, Related introduction 1. SavedModel format TensorFlow model export In order to deploy the trained machine learning model to each target platform (such as server, mobile terminal, embedded device and browser), our first step is often to export (serialize ...

preface Softmax regression, also known as multiple or multi class Logistic regression, is the generalization of Logistic regression in multi classification problems. 1, Training set and test set Use the data set fashion MNIST obtained in the previous section. 2, Steps 1. Import and storage import torch import torchvision import nu ...

preface Original translation from: Deep Learning with PyTorch: A 60 Minute Blitz Translation: Lin Yun catalogue 60 minute introduction to PyTorch (I) - Tensors 60 minute introduction to PyTorch (II) -- Autograd automatic derivation 60 minute introduction to pytoch (III) -- neural network 60 minute introduction to PyTorch (IV) -- training ...

PaddleDetection introduce PaddleDetection is an end to end object detection development kit based on PaddlePaddle, which is designed to help developers provide help in the whole development of training models, optimizing performance and reasoning speed, and deploying models. Paddedetection provides various object detection architectures in mo ...