[from the official case study framework Keras] seq2seq based on character LSTM

[from the official case study framework Keras] seq2seq based on character LSTM Keras official case link Tensorflow official case link Paddle official case link Pytoch official case link Note: this series only helps you to quickly understand and learn, and can independently use the relevant framework for in-depth learning research. Please ...

Posted by sarah on Sun, 08 May 2022 07:29:41 +0300

Image recognition using ResNet18 residual network model of CIFAR10 data set - with an accuracy of 90%

Image recognition experiment using ResNet18 residual network model of CIFAR10 data set - accuracy of 90% (detailed notes attached) Auther:Yuandong Li Date: 2020/11/17 Welcome to my github: Li-Y-D The source code of this experiment and the code file in Jupyter Notebook format: Image-classification-CIFAR10-ResNet18 I Test requirements: Use Jup ...

Posted by cretam on Sat, 07 May 2022 04:50:48 +0300

Community project sharing | build a film recommendation system with Jina

We are in contact with the recommendation system every day, including short videos, e-commerce, takeout, performances, advertisementsToday, we will demonstrate the project of Jina AI Community user Li Achintya, who built a movie recommendation system with Jina.Overview of the principle of film recommendation systemIn this Demo, the author trans ...

Posted by shadowwebs on Fri, 06 May 2022 14:33:23 +0300

Common functions of Tensorflow2

Cast type Force tensor to this data type tf. Cast (tensor name, dtype = data type) Calculate the maximum and minimum values of elements in the tensor dimension tf. reduce_ Max (tensor name) tf. reduce_ Min (tensor name) import tensorflow as tf x1 = tf.constant([1, 2, 3], dtype=tf.float64) print(x1) x2 = tf.cast(x1, tf.int32) print(x2) pri ...

Posted by PHPycho on Fri, 06 May 2022 13:41:13 +0300

Implementation of neural network classification by PyTorch

1, Classification 1.1 data Create some fake data to simulate the real situation For example, the data of two quadratic distributions, but their mean values are different import torch import matplotlib.pyplot as plt # False data n_data = torch.ones(100, 2) # Basic form of data x0 = torch.normal(2*n_data, 1) # Type 0 x data (tens ...

Posted by M4F on Fri, 06 May 2022 11:39:22 +0300

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