## BP neural network matlab code explanation and implementation steps

1. Introduction and structural parameters of BP neural network
Neural network is a common mathematical model in machine learning. It processes information by constructing a structure similar to the synaptic connection of brain nerves. In the process of applying neural network, the units dealing with information are generally divided into t ...

Posted on *Tue, 07 Dec 2021 00:02:11 -0500* by **Billett**

## Convolutional Neural Network-MNIST Actual Warfare (pytorch-based)

Article Directory
Preface1. What is pandas?2. Steps for use
1. Introducing Libraries2. Read in datasummary
Preface
With the continuous development of in-depth learning, neural networks are becoming more and more popular. As we all know, cnn is very effective in image classification. This paper will show a simple convolution neural n ...

Posted on *Mon, 06 Dec 2021 13:56:59 -0500* by **naboth_abaho**

## Reading notes Deep Learning for Computer Vision with Python - Volume II, Chapter 8, using HDF5 and large data sets

Download address
Link: https://pan.baidu.com/s/1hqtBQf6jRJINx4AgB8S2Tw Extraction code: zxkt
Chapter 8 of Volume II uses HDF5 and large data sets
So far, in this book, we have only used data sets suitable for the main memory of ...

Posted on *Sun, 05 Dec 2021 21:27:26 -0500* by **gioahmad**

## Practical exercise based on basic neural network - simple neural network construction

Reference books
95 - neural network and deep learning - Qiu Xipeng
98 - in depth study of dynamics - the latest version in September
10, Introduction to artificial neural network, Xi. Training deep neural network, XII. Distributed TensorFlow
Perceptron, the input number is connected with the weight to form the sum, and then ...

Posted on *Sat, 04 Dec 2021 00:52:56 -0500* by **RiZ**

## A detailed explanation of RNN and stock forecasting practice (Python)

Recurrent neural network (RNN) is designed based on the recursive nature of sequential data (such as language, speech and time series). It is a feedback type of neural network. Its structure includes loop and self repetition, so it is called "loop". It is specifically used to process sequence data, such as generating text word by word ...

Posted on *Wed, 01 Dec 2021 21:03:27 -0500* by **egpis**

## optimizer.zero_grad(),loss.backward, and optimizer.step(), LR_ Analysis of scheduler.step principle

When training the model with pytorch, optimizer.zero is usually used successively in the process of traversing epochs_ Grad(), loss. Backward, and optimizer.step(), LR_ The four functions of scheduler. Step() are as follows:
train_loader=DataLoader(
train_dataset,
batch_size=2,
shuffle=True
)
model=myModel()
criterion=nn.CrossEn ...

Posted on *Tue, 30 Nov 2021 08:21:08 -0500* by **crinkle**

## [image processing] Python method for obtaining picture mean and variance

Method for obtaining picture mean and variance
In domain adaptive change, or when processing data sets, it is often necessary to analyze the mean and variance of images or data sets
By analyzing the mean and variance, we can efficiently obtain the data distribution, especially the large data set
Therefore, here we record and introduce the ac ...

Posted on *Tue, 30 Nov 2021 03:44:06 -0500* by **abgoosht**

## Matplotlib data visualization

Task04 This study refers to Datawhale open source learning: https://github.com/datawhalechina/fantastic-matplotlib The content is generally derived from the original text and adjusted in combination with their own learning ideas. Personal summary: first, Matplotlib mainly has two ways to create text: pyplot API and objective oriented API. 2. Te ...

Posted on *Fri, 26 Nov 2021 22:46:14 -0500* by **harnacks**

## Why do neural networks think your cat is a cat: Magical class activation map CAM Technology (with pytoch implementation code)

1 Introduction
For the general classification, we import the data into the neural network, which tells us what kind it is. For some necessary cases, we need to know how the neural network makes judgment, and which parameters of the input data affect the judgment of the neural network. Therefore, the paper Learning Deep Features for Discriminat ...

Posted on *Tue, 23 Nov 2021 16:39:41 -0500* by **jonez**

## PyTorch deep learning practice lesson 9 multi classification problem handwritten numeral recognition (training + test) super detailed

Video link: The final collection of PyTorch deep learning practice_ Beep beep beep_ bilibili
Idea:
Prepare datasetDesign model classConstruct loss function and optimizerTraining and testing
1. Prepare dataset:
Because MNIST is the data set of torchvision.datasets and a subclass of torch.utils.data.Dataset, you can directly use the data ...

Posted on *Sun, 21 Nov 2021 04:00:30 -0500* by **JohnN4**