Programming VIP

The fourth chapter introduces the implementation of a two-layer neural network, in which the method of obtaining the gradient is numerical differentiation. This method is relatively simple, but the speed is slow. This will greatly affect the performance of neural network. This paper introduces a faster method to obtain the gradient, whic ...

1, SSH management software Here I recommend a software I am using, termius. Termius is a very easy to use and beautiful SSH client, which can quickly control the server remotely and customize your favorite themes Termius not only covers Windows, Linux and OSX, but also supports Android and iOS (in the future, you can take out your mobile phone ...

Hello, guys, long time no see... (really * long time no see =.) I haven't written a blog for a long time. To apologize, I spent the whole day on the big guys today ~ that's the theme I'm going to talk about this time - Luwu~ So, what is Luwu? It's a spicy chicken open source project written by bencai chicken What's the use of this spicy ch ...

·For related learning of CornerNet, please refer to my other articles~ This article is more detailed. Zero basic Xiaobai can also run out of the program through this article. The author is just getting started. If there are deficiencies, please point out more! 1, Foreword 1. Relevant references The key to this tutorial is to re ...

Implementation of keras version of DeepLab-V3 + semantic segmentation Neural Network network structure Deeplab series network models are developed from ResNet residual module, and on this basis, they are integrated with the implementation of empty convolution. Compared with Deeplab v3, Deeplab v3 + introduces the encoder decoder structure c ...

@Author: Runsen What is PyTorch? This is a Python based scientific computing package for two groups of audiences: NumPy is an alternative to take advantage of the power of GPU. Provide a deep learning research platform with maximum flexibility and speed. tensor Tensors are similar to NumPy's n-dimensional array. In addition, tensors ca ...

DQN introduction DQN(Deep Q-Learning)It is the combination of deep learning and reinforcement learning Q-table He is too big to build words to use DQN Is a good choice. DQN algorithm mainly uses experience replay (experience pool) to realize the convergence of value function. The Deep Q-learning method is used to iteratively update Q (s, ...

Ex3_ Machine learning_ Wu Enda's course assignment (Python): multi class classification & Neural Networks instructions: This article is about Mr. Wu Enda's learning notes of the machine learning course on Coursera. The first part of this paper first introduces the knowledge review and key notes of the corresponding week of the c ...

Reference open source learning address: datawhale 1. Introduction to inmemorydataset base class In PyG, we inherit InMemoryDataset Class to customize a dataset class that can store all data in memory. class InMemoryDataset(root: Optional[str] = None, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, pre_filter: ...

Study Preface Visual Transformer is very hot recently. I'll learn from VIT first. What is Vision Transformer (VIT) Vision Transformer is the visual version of transformer. Transformer has basically become the standard configuration of natural language processing, but its application in vision is still limited. Vision Transformer breaks ...