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1, Dataset Download Link: https://pan.baidu.com/s/1_7blbYJc0ouCGmqe8kBnTw extraction code: c6ex copy this content and open Baidu online disk mobile App, which is more convenient to operate 2, Training model 1. Define data initialization import torchvision.transforms as transforms image_size=(224,224) # data_transforms=transforms.Compose([ ...

This code and data set are from Mr. Li Hongyi's HW1 Data Set Address Reference code address This article introduces Pytorch through Teacher Li's first assignment and the reference code provided. This is an introductory text and does not involve specific network design. When we want to train a model with data, there are actually two main ste ...

Blog: www.jiaopengzi.com Article directory of jiaoshanzi Please click to download the attachment 1, Background 1. I wrote a story about pp application of transfer in and out Now, special additional deduction items are added to individual income tax, so as to write a case about salary calculation; 2. In this case, the salary is calculated b ...

preface Tip: Here you can add the general contents to be recorded in this article: For example, with the continuous development of artificial intelligence, machine learning technology is becoming more and more important. Many people have started learning machine learning. This paper introduces the basic content of machine learning. Ti ...

Part I: Deep learning and machine learning 1. Machine learning tasks Review our steps in completing a machine learning task: (1) First of all, the data needs to be preprocessed. The important steps include the uniformity of data format and necessary data transformation, as well as the division of training set and test set. (2) Next, selec ...

This picture and text is the learning notes of Datawhale team learning pytoch. The main contents include the concept of tensor (0-dimensional, 1-dimensional, 2-dimensional, 3-dimensional, 4-dimensional tensor, etc.), the principle of automatic derivation (understanding through dynamic graph), and the understanding of parallelism. Chapter 0 ...

1. General torch.nn.Embedding is used to turn a number into a vector of a specified dimension. For example, number 1 becomes a 128 dimensional vector and number 2 becomes another 128 dimensional vector. However, these 128 dimensional vectors are not immutable. These 128 dimensional vectors are the real input of the model (that is, the firs ...

1 course learning This lesson is mainly for the white AI course: Ptorch model reasoning and multi task general paradigm The second lesson in the course. 2 assignment topic Title Description Required questions: (1) from torchvision Loading in resnet18 Model structure, and load the pre trained model weight 'resnet18-5c106cde.pth' (In the ...

1. What is pkuseg Pkuseg is a new Chinese word segmentation toolkit developed by the language computing and machine learning research group of Peking University. GitHub address: https://github.com/lancopku/pkuseg-python 2. Characteristics Multi domain word segmentation. Different from the previous general Chinese word segmentation tools, ...

7 single shot multi frame detection (SSD) The bounding box, anchor box, multi-scale target detection and data set for target detection are introduced respectively. Now we are ready to use this background knowledge to design a target detection model: single shot multibox detector (SSD). 7.1 model This model is mainly composed of basic net ...