Wu Enda deeplearning Ai - neural networks and deep learning - week 3 code

Reference link: https://blog.csdn.net/u013733326/article/details/79702148 Prepare package We need to prepare some software packages: numpy: it is a basic software package for scientific computing in Python.sklearn: a simple and efficient tool for data mining and data analysis.matplotlib: is a library for drawing charts in Python.testCases: s ...

Posted by Terminator on Wed, 22 Dec 2021 20:36:28 +0100

Pytorch trains ResNet with his own data

I Introduction to ResNet algorithm Residual neural network (ResNet) was proposed by he Kaiming of Microsoft Research Institute. ResNet won the championship in ILSVRC in 2015. Through experiments, ResNet has continuously improved the accuracy of the model with the deepening of the network layer, Reach the maximum (accuracy saturation), and the ...

Posted by zero-one on Sun, 19 Dec 2021 11:30:02 +0100

[optimization solution] particle swarm optimization algorithm for distributed energy optimal scheduling problem [Matlab 768]

1, Introduction to particle swarm optimization 1 concept of particle swarm optimization Particle swarm optimization (PSO) is an evolutionary computing technology, which originates from the research on the predation behavior of birds. The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation ...

Posted by jvquach on Sat, 18 Dec 2021 11:17:08 +0100

pytorch deep learning practice lesson 11 convolutional neural network advanced part CNN

Lesson 11 convolutional neural network Advanced CNN pytorch learning video - video link of station B: The final collection of PyTorch deep learning practice_ Beep beep beep_ bilibili The following is the video content notes and source code. The notes are purely personal understanding. If there are errors, you are welcome to point them out. 1 ...

Posted by webgod on Fri, 17 Dec 2021 21:52:15 +0100

[crack identification] pavement crack identification system based on GUI BP neural network [Matlab 1063]

1, Introduction The detection of pavement cracks is an important part of expressway pavement disease maintenance and management. In recent years, pavement crack automatic detection technology has been widely used. Due to the complexity of pavement crack image, the detection algorithm directly affects the accuracy of detection results. Therefor ...

Posted by gassaz on Fri, 17 Dec 2021 05:02:01 +0100

Deep learning image classification -- mobile netv2 network structure

Deep learning image classification (11) mobile netv2 network structure In this section, learn about the network structure of MobileNetV2. Learning video from Bilibili , part of the reference description is derived from knowhow Explain MobileNetV2 in detail. 1. Preface MobileNetV2 was proposed by the google team in 2018. Compared with ...

Posted by zeodragonzord on Thu, 16 Dec 2021 21:00:07 +0100

Ingenious, the second element migration filter animegan + fmpeg (picture + video) of pytoch of M1 mac system

The original text is reproduced from "Liu Yue's technology blog" https://v3u.cn/a_id_201Some time ago, AnimeGAN, the industry's famous animation style transformation filter library, released the latest v2 version. For a time, there was no difference in the limelight. Tiktok two yuan, the largest user base in China is undoubtedly the j ...

Posted by knickerlas on Wed, 15 Dec 2021 22:05:28 +0100

Introduction to deep learning series 11: reducing over fitting with Dropout regularization

Hello, my technician Howzit, this is the eleventh part of the introduction series of in-depth learning. Welcome to communicate together! Introduction to deep learning series 1: overview of multi-layer perceptron Introduction to deep learning series 2: build your first neural network with TensorFlow Introduction to deep learning series 3: perfo ...

Posted by wild_dog on Tue, 14 Dec 2021 22:25:22 +0100

EfficientNet learning notes

EfficientNet learning notes 1. Thesis ideas In some previous papers, some will improve the performance of the network by increasing the width of the network, that is, increasing the number of convolution cores (increasing the channels of the characteristic matrix), as shown in figure (b), and some will improve the performance of the network b ...

Posted by ohdang888 on Mon, 13 Dec 2021 15:47:54 +0100

[Pytorch] MNIST Image Classification Code-Ultra-detailed Interpretation

[Pytorch] MNIST Image Classification Code-Ultra-detailed Interpretation Preface Recently, machine learning has increased dramatically among junior undergraduates, and the editor often sees his little buddy gnawing books in the study room. However, due to the lack of experience and guidance, the principle may be clear, but because many ...

Posted by zackcez on Mon, 06 Dec 2021 18:21:17 +0100