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When dealing with classification problems, category imbalance is not only a problem we often encounter, but also a problem that often occurs in actual use scenarios. Category imbalance will bring challenges to the prediction task, and lead to poor prediction effect of a few categories, because the hypothetical scenario of most machine le ...

First, in order to avoid subsequent trouble, try to configure according to the official reference configuration. (Ubuntu18.04+CUDA10.1) 1, Preparatory work 1. View CUDA version command: nvcc -V (this command views the Runtime API. When NVIDIA SMI views the Driver API, it doesn't matter. The two API versions can be different) My Ubuntu has in ...

1, Introduction tochvision mainly processes image data, including some commonly used data sets, models, conversion functions, etc. torchvision is independent of PyTorch and requires special installation. torchvision mainly includes the following three parts: torchvision.models: provide various classic network structures and pre trained m ...

Last article How to label each anchor box is described in. Will you be able to train immediately after the labeling? Don't worry, there are still some preparations to be completed 1, Data enhancement VOC dataset Although there are so many images in the data set, the training effect is not so good if the enhancement processing is not done. ...

Stick to blogging and share your gains in study and work Make a note of yourselfRecord and summarize knowledge points to deepen understandingGive some help to people in need, step less on a pit and take more steps Try to arrange the layout in an appropriate way, with both graphics and text If you write wrong or don't understand, you can lea ...

Which course does this assignment belong toConstruction method - Autumn 2021 - Software Engineering of Fuzhou UniversityWhat are the requirements for this assignmentThe second pairing programming operation of software engineering practice in autumn 2021Individual student number031902540Pairing member student number031902135Job blog link for twi ...

1. Overview Semantic segmentation is the basis of computer vision's understanding of the real world, ranging from automatic driving to personal applications. As long as you observe carefully, you can find the application places of semantic segmentation everywhere. In fact, semantic segmentation is equivalent to image segmentation + understandi ...

Practical tutorial | preservation and migration of pytoch model In this article, the author first introduces several typical scenarios of model reuse; Then it introduces how to view the relevant parameter information in the pytoch model; Then it introduces how to load the model, how to carry out additional training and transfer learning of the ...

Applications of Deep Neural Networks with Keras Application of Deep Neural Network Based on Keras Translated by Jeff Heaton: The Academic Frontier of Artificial Intelligence Catalog 1.Python Foundation 2. Machine learning Python 3. Introduction to TensorFlow 4. Training of tabular data 5. Regularization and Dropout 6. Convolutional Neu ...

The previous article introduced the past and present of quickdraw: The largest hand drawn sketch data set in the universe - QuickDraw analysis, download, use, training and visualization (with complete code)_ A fan boy addicted to cycling - CSDN blog However, in the process of generation, the cpu utilization is very low, and it is difficu ...