Using Python and Keras for principal component analysis, neural network construction and image reconstruction

the introduce These days, there's a ton of data in just about every app we useโ€”listening to music, browsing a friend's images, or watching a new trailer. Recently we were asked by a client to write a research report on image reconstruction, including some graphical and statistical output. Principal Component Analysis PCA Di ...

Posted by ranjita on Wed, 07 Dec 2022 01:48:04 +0300

NNDL experiment 6 Convolutional neural network ResNet18 implements MNIST

5.4 Handwritten Digit Recognition Experiment Based on Residual Network Residual Network (ResNet) is a way of adding directly connected edges to nonlinear layers in neural network models to alleviate the problem of gradient disappearance, thereby making it easier to train deep neural networks. In the residual network, the most basic unit is th ...

Posted by agsparta on Wed, 09 Nov 2022 21:02:41 +0300

Day 4 of deep learning - generating confrontation network (GAN): handwritten digit generation

>- **๐Ÿจ This article is:[๐Ÿ”—365 Day deep learning training camp](https://mp.weixin.qq.com/s/k-vYaC8l7uxX51WoypLkTw)** >- **๐Ÿฆ Reference article address: [๐Ÿ”—100 cases of deep learning-Generate countermeasure network( GAN)Handwritten digit generation | Day 18](https://mtyjkh.blog.csdn.net/article/details/118995896)** >- **๐Ÿ– Author:[K Cla ...

Posted by kaszu on Thu, 18 Aug 2022 12:29:07 +0300

libtorch study notes - MNIST combat

MNIST libtorch practical exercise Ready to work First download the MNIST database, http://yann.lecun.com/exdb/mnist/ After downloading, do not decompress it with software such as winrar. For example, t10k-images-idx3-ubyte is decompressed into t10k-images.idx3-ubyte. It is best to decompress it with tar in Linux environment. Suppose you unzip t ...

Posted by chrys on Wed, 25 May 2022 15:51:55 +0300

pytorch on GPU - training neural network with CUDA (pytorch series-30)

Running PyTorch code on GPU - neural network programming guide In this episode, we will learn how to use GPU and PyTorch. We will see how to use the general methods of GPU, and we will see how to apply these general techniques to train our neural networks. Deep learning using GPU If you haven't seen the episode about why deep learning and neur ...

Posted by bmbc on Mon, 23 May 2022 12:42:05 +0300

[Flying Paddle] Target Detection YOLO-V3 Study Notes

Before learning this course, I heard the name of YOLO. During the epidemic, an up master trained the detection of pedestrian masks through yolo and it was a great success. Without further ado, let's start learning. Basic Concepts in Object Detection Before starting to learn YOLO, first learn some basic concepts of target detection. After all, Y ...

Posted by Pro Ninja on Fri, 20 May 2022 08:48:32 +0300

SimpleRNN realizes stock forecast

Please check the previous articles for the principle. 1. Data source โ€ƒโ€ƒSH600519.csv is the daily k-line data of sh600519 Guizhou Maotai downloaded by tushare module. In this example, only its C-column data is used (as shown in the figure): โ€ƒ use the opening price for 60 consecutive days to predict the opening price on ...

Posted by phpnewbie25 on Thu, 19 May 2022 23:01:07 +0300

[PyTorch] Note 02: Autograd auto derivation

From PyTorch 1.4 tutorial Outline Tensor torch.autograd.backward If the result node is scalar If the result node is a vector [PyTorch] Note 02: Autograd auto derivation In PyTorch, the core of all neural networks is autograd package 1 Tensor torch.Tensor is the core class of this autograd A Tensor tensor usually records the following ...

Posted by rusbb on Thu, 19 May 2022 21:17:09 +0300

[pytorch] code implementation of ECA-NET attention mechanism applied to ResNet

1, Foreword Introduction to ECA-NET(CVPR 2020): Thesis title:ECA-Net: Effificient Channel Attention for Deep Convolutional Neural NetworksThesis address:https://arxiv.org/abs/1910.03151Open source code:https://github.com/BangguWu/ECANet As a lightweight attention mechanism, ECA net is actually an implementation form of channel attention mecha ...

Posted by phpflixnewbie on Sun, 15 May 2022 01:47:39 +0300

[PyTorch learning notes] 1.2 introduction to tensor

thumbnail: https://image.zhangxiann.com/...toc: truedate: 2020/2/5 20:39:20disqusId: zhangxiancategories: PyTorch tags: AI Deep Learning Code of this chapter: https://github.com/zhangxiann/PyTorch_Practice/blob/master/lesson1/tensor_introduce1.py https://github.com/zhangxiann/PyTorch_Practice/blob/master/lesson1/tensor_introduce1.py Tensor c ...

Posted by sean14592 on Wed, 11 May 2022 06:42:57 +0300