Handwritten Number Recognition and Application Based on CNN-LSTM (with tensorflow code explanation)

abstract CNN convolution neural network is a commonly used model method in image recognition and classification.Because there is a big difference between the training effect of CNN model and the actual test, in order to improve the recognition rate of free handwritten digits, we try to construcUTF-8...

Posted by alex57 on Sat, 19 Jun 2021 03:09:16 +0930

[neural network] convolutional neural network (ResNet50), case: Art Painting 10 classification, with data set

Hello, everyone. Today I'd like to share tensorflow 2 How to construct convolutional neural network ResNet-50 in 0. Case content: now we have collected the paintings of 10 art masters, and use convolutional neural network to judge which master painted a painting. Dataset: https://pan.baidu.com/UTF-8...

Posted by hustler on Sat, 11 Dec 2021 22:41:56 +1030

[neural network] convolutional neural network (Mobilenet_v1), case: 10 classification of cifar images

Hello, everyone. Today I'd like to share tensorflow2 How to install mobilenet in 0_ V1 neural network. 1. Model introduction MobileNet series is a series of lightweight networks. It is an effective model for mobile terminal and embedded vision applications. See: MobileNet_v1 details - Grey lettUTF-8...

Posted by 44justin on Fri, 17 Dec 2021 00:48:45 +1030

Artificial Neural Network 4th Job-2nd Question MNIST Handwriting Recognition 2021

Introduction: _The MNIST data collection is a deep learning basic training data collection. The dense feed-forward neural network can be used to train the data collection, or the CNN can be used. The MNIST data collection is tested using a single hidden layer BP network and a LeNet network. TheUTF-8...

Posted by kparish on Mon, 20 Dec 2021 22:15:36 +1030

[pytoch] facial expression recognition based on convolutional neural network

Author: He Xiang College: Computer College Student No.: 04191315 Class: software 1903 For reprint, please mark the link of this article: https://www.cnblogs.com/He-Xiang-best/p/15690252.html 1, Introduction 1.1 research background Facial Expression Recognition In daily work and life, people's eUTF-8...

Posted by drag0n on Wed, 22 Dec 2021 11:29:44 +1030

Attached code: repvgg: making VGg style ConvNets great again paper interpretation

Repvgg: making VGg style ConvNets great again Code link: https://github.com/DingXiaoH/RepVGG Emphasis: a pure architecture is proposed to decouple the multi branches of training time and reasoning time through structural re parameterization Summary: We propose a simple and powerful convolutionaUTF-8...

Posted by gottes_tod on Fri, 24 Dec 2021 00:31:50 +1030

Deep learning notes: convolutional neural network CNN

Convolution layer Convolution Kernel Stride Padding Convolution on multichannel Activation function Convolution function Transpose convolution Pool layer Three ways of pooling Local pooling Global pooling 💡 The convolution neural network is composed of one or more convolution layers and the tUTF-8...

Posted by mikeylikesyou on Mon, 27 Dec 2021 12:14:18 +1030

Bachelor degree, practical combat, classification and identification of art works

With information, with information, wechat search [classmate K] pays attention to this blogger who shares dry goods. This article GitHub https://github.com/kzbkzb/Python-AI It has been included, including Python, in-depth learning materials and my series of articles. Hello, I'm classmate K! TodUTF-8...

Posted by work_it_work on Tue, 28 Dec 2021 11:58:32 +1030

PyTorch builds CNN to realize time series prediction (wind speed prediction)

data set The data set is the meteorological data of Barcelona in a certain period of time, including temperature, humidity and wind speed. This paper will use CNN to predict wind speed. Characteristic structure For the prediction of wind speed, in addition to the historical wind speed data, thUTF-8...

Posted by bdmovies on Sat, 01 Jan 2022 20:29:23 +1030

yolov4 project record 6- loss calculation

catalogue 1, Overview 2, Calculate 1. Position regression loss 2. Loss of Object Confidence 3. Classified loss 3, Code 1, Overview The content of prediction includes the position of the object (position regression loss), whether there is an object (Object Confidence loss) and the classificationUTF-8...

Posted by anu123 on Sun, 02 Jan 2022 14:08:45 +1030