tensorflow.keras builds gan neural network, which can run directly

tensorflow.keras builds gan neural network, which can run directly preface keras is one of the high-level API libraries of tensorflow, with concise code and strong readability. This paper adopts tensorflow keras to implement gan network. The specific principle will not be described too much in this paper, but only as a case exchange # ...

Posted by harman on Thu, 05 May 2022 17:43:27 +0300

Train and evaluate your MLP Mixer network using PyTorch

preface Project address: https://github.com/Fafa-DL/Awesome-Backbones Operation tutorial: https://www.bilibili.com/video/BV1SY411P7Nd Original paper of MLP Mixer: Click me to jump 1. Data set production 1.1 production of label documents Download project code to local This demonstration takes the flower data set as an example, and ...

Posted by rifts on Thu, 05 May 2022 15:43:18 +0300

Scholar Zhang Chu takes you to experience the Hello AI World of Jetson AGX Orin

In https://developer.nvidia.com/embedded/learn/get-started-jetson-agx-orin-devkit In link: Provides a link to an Nvidia AI example HelloAI World: https://github.com/dusty-nv/jetson-inference It provides more than 50 application cases of image processing, Image Recognition, Object Detection, Semantic Segmentation, Pose Estimation, and de ...

Posted by iankent on Thu, 05 May 2022 12:36:48 +0300

PyTorch implementation: classic network ResNet

Classical network ResNet 1 Brief description Networks such as GoogleNet and VGG have demonstrated that deeper networks can abstract more expressive features and thus achieve stronger classification capabilities. In a deep network, with the increase of the network depth, the resolution of the feature map output by each layer is mainly reduced ...

Posted by RDx321 on Wed, 04 May 2022 17:58:02 +0300

Hisilicon development: mobilefacenet model pytorch - > onnx - > caffe - > nnie

1, Foreword Recently, when I am free, I will sort out and record the previous projects to benefit the people. 2, Details The face model is trained under pytorch, and the project file uses this: MobileFaceNet_Tutorial_Pytorch After the training, first convert to onnx model and simplify it. The code is as follows: def export_onnx(): impor ...

Posted by richmlpdx on Wed, 04 May 2022 03:59:45 +0300

Image classification dataset (fashion MNIST)

Image classification dataset (fashion MNIST) The most commonly used image classification dataset is the handwritten numeral recognition dataset MNIST[1]. However, the classification accuracy of most models on MNIST exceeds 95%. In order to more intuitively observe the differences between algorithms, we will use a data set with more complex ima ...

Posted by F.Danials on Tue, 03 May 2022 15:43:56 +0300

Li Mu hands-on learning deep learning V2-NiN model and code implementation

1. NiN LeNet, AlexNet and VGG all share a common design pattern: extract spatial structure features through a series of convolutional layers and pooling layers; and then process the representation of features through fully connected layers. The improvement of LeNet by AlexNet and VGG mainly lies in how to expand and deepen these two modules. ...

Posted by phpshift on Tue, 03 May 2022 01:39:18 +0300

Deep learning recommendation method related papers and PyTorch implementation

Note that the code in this article is written by myself according to the paper. There must be some details that are not expressed, and it is inevitable that there are errors. It is recommended to see the original code of the paper for more model details. If you find errors in the code, please correct them in the comment area I. AutoRec 1.1 ...

Posted by kit on Mon, 02 May 2022 15:29:25 +0300

The first step in Pytorch: the use of transforms

In my previous article: The first step of Pytorch: (1) Use of Dataset class Here, whether we use torchvision.datasets or we customize the Dataset subclass, there is a parameter transforms that is passed in. I didn't explain it in detail in the last article, because this is a big piece of content, so I wrote this article to explain it. transform ...

Posted by jozard on Sun, 01 May 2022 09:13:21 +0300

ResNet learning notes

preface This article is written after reading many blogs. It requires readers to have at least some CNN knowledge. Of course, I don't know what level they need. Therefore, it may partially explain some basic terms that are very introductory, or many complex terms that are not explained because they are difficult to explain (mainly lazy). It's b ...

Posted by iceblox on Sat, 30 Apr 2022 22:25:47 +0300