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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 ...

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 ...

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 ...

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 ...

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 ...

Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it preface This paper mainly records some classical convolution network architectures and the corresponding pytorch code. Tip: the following is the main content of this article. 1, LeNet ...

Author home page( Silicon based workshop of slow fire rock sugar): Slow fire rock sugar (Wang Wenbing) blog silicon based workshop of slow fire rock sugar _csdnblog Website of this article: https://blog.csdn.net/HiWangWenBing/article/details/120600621 catalogue Introduction deep learning model framework Chapter 1 business area analysis on ...