pytorch training model
1
preface
This article belongs to a series of tutorials on semantic segmentation for pytoch in-depth learning.
The contents of this series of articles are:
Basic use of pytoch
Explanation of semantic segmentation algorithm
Since wechat does not allow external links, you need to click "read the original text" in the lower left ...
Posted by fireant on Sun, 08 May 2022 08:05:32 +0300
[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