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Customized training of deep learning models using transfer learning techniques

Translator | Reviewed by Zhu Xianzhong | Sun Shujuan Transfer learning is a type of machine learning. It is a method applied to neural networks that have been trained or pre-trained, and these pre-trained neural networks are made using millions of trained on data points. The most well-known use of this technology currently is to train deep neural networks, as this method has shown good performance in training deep neural networks using less data. In fact, this technique is also useful in the field of data science, because most real-world data usually does not have millions of data points to train a robust deep learning model. Currently, many models exist that are trained using millions of data points and can be used to train complex deep learning neural networks with maximum accuracy.

Apr 23, 2023 am 08:13 AM

机器学习数据集迁移学习

How to design a docker management system

Docker has become an essential tool for modern enterprises, simplifying the packaging, shipping and deployment of applications. However, Docker requires a large number of commands to manage applications, images, and containers. For enterprises managing large-scale Dockerized applications, this can become very tedious and complex. Therefore, designing a powerful Docker management system is crucial. The following aspects need to be considered when designing a Docker management system. 1. Architecture design Docker management system can be divided into multiple modules, usually including We

Apr 18, 2023 am 10:25 AM

Nine super useful Python libraries for data science

In this article, we will look at some Python libraries for data science tasks other than the more common ones like panda, scikit-learn, and matplotlib. Although libraries like panda and scikit-learn are commonly used in machine learning tasks, it is always beneficial to understand other Python products in this field. 1. Wget Extracting data from the Internet is one of the important tasks of data scientists. Wget is a free utility that can be used to download non-interactive files from the Internet. It supports HTTP, HTTPS and FTP protocols, as well as file inspection through HTTP proxy

Apr 17, 2023 am 09:25 AM

开发 Python 编程语言

How to quickly turn your Python code into an API

When it comes to API development, you may think of DjangoRESTFramework, Flask, and FastAPI. Yes, they can be used to write APIs. However, the framework shared today allows you to convert existing functions into APIs faster. It is Sanic . Introduction to Sanic Sanic[1] is a Python3.7+ web server and web framework designed to improve performance. It allows the use of the async/await syntax added in Python 3.5, which can effectively avoid blocking and improve response speed. Sanic is committed to providing a simple and fast way to create and launch

Apr 14, 2023 pm 06:28 PM

Python API 语法

The best combination for writing Python code on Windows!

How to do Python development on Windows? Should I use a plain text editor like the masters do, or should I use a more complete IDE? Should I use the built-in command line tool, or do I need to install a new Terminal? This article will show you how to use MS Terminal and VS Code officially maintained by Microsoft to protect Python development. One of the great benefits of using Windows is that it has so many applications, and even a powerful GPU can do other "work" in your free time. However, unlike Linux or macOS, developing on Windows will always encounter many challenges, whether it is file encoding or environment control.

Apr 14, 2023 pm 01:31 PM

代码 Python Windows

Ten useful Python utility libraries, I recommend you try them!

Why do I like Python? It's an easy-to-learn programming language for beginners, for another reason: the large number of third-party libraries available out of the box, and 230,000 user-contributed packages that make Python truly powerful and popular. In this article, I have selected 10 of the most useful software packages and describe their functions and features. 1. DashDash is a Python library for building web-based applications without JavaScript. Dash is also a user interface library for creating analytical web applications. Those who use Python for data analysis, data mining, visualization, modeling, instrument control, and reporting can get started immediately

Apr 13, 2023 am 09:43 AM

代码 Python 软件包

ASGI explained: The future of Python web development

Translator | Reviewed by Li Rui | Sun Shujuan Python web applications have long followed the Web Server Gateway Interface (WSGI) standard, which describes how they communicate with web servers. WSGI, originally introduced in 2003 and updated in 2010, relies only on easy-to-implement features that are natively available in Python 2.2. As a result, WSGI was quickly integrated into all major Python web frameworks and became the cornerstone of Python web development. Fast forward to 2022. Python2 has been deprecated and Python now has native syntax for handling asynchronous operations such as network calls. WSGI and other standards that assume synchronous behavior by default cannot

Apr 12, 2023 pm 10:37 PM

Python web ASGI

How to write Python code on Windows? Excellent strategy is coming!

How to do Python development on Windows? Should I use a plain text editor like the masters do, or should I use a more complete IDE? Should I use the built-in command line tool, or do I need to install a new Terminal? One of the great benefits of using Windows is that it has so many applications, and even a powerful GPU can do other "work" in your free time. However, unlike Linux or macOS, developing on Windows will always encounter many challenges. Whether it is file encoding, environment control or project compilation, there will always be some magical gains during the development process. These are especially prominent for beginners: various dependency errors may occur when we install a certain library,

Apr 12, 2023 pm 10:22 PM

代码 Python Windows

ChatGPT sharing-How to develop an LLM application

1 Background ChatGPT has caused huge shock in the industry. All walks of life are discussing large language models and general artificial intelligence. AI has experienced more than fifty years of development and is now in a critical period of horizontal development of the industrial structure. This change stems from the paradigm shift in the field of NLP, which has evolved from "pre-training + fine-tuning" to "pre-training, prompting, and prediction". In this new model, downstream tasks adapt to the pre-trained model, making a large model suitable for multiple tasks. This change has laid the foundation for the horizontal division of labor in the AI industry. Large language models have become infrastructure. Prompt Engineering companies have emerged one after another, focusing on connecting users and models. The division of labor in the AI industry has initially taken shape, including underlying infrastructure (cloud services

Apr 12, 2023 pm 09:43 PM

ChatGPT LLM 应用

Use Flask to build Python microservices on Kubernetes

Microservices follow Domain Driven Design (DDD) and are independent of the development platform. Python microservices are no exception. The object-oriented nature of Python3 makes it easier to model services in terms of DDD. The power of microservices architecture lies in its multilingual nature. The enterprise breaks down its functionality into a set of microservices, and each team is free to choose a platform. Our user management system has been decomposed into four microservices, namely add, find, search and log services. Added services are developed on the Java platform and deployed on Kubernetes clusters for resiliency and scalability. This does not mean that the rest of the services must also be developed in Java. We are free to choose the platform that suits our individual services.

Apr 12, 2023 pm 08:58 PM

Python Flask 微服务 Kubernetes

Eight Python libraries to improve data science efficiency!

1. OptunaOptuna is an open source hyperparameter optimization framework that can automatically find the best hyperparameters for machine learning models. The most basic (and probably well-known) alternative is sklearn's GridSearchCV, which will try multiple hyperparameter combinations and choose the best one based on cross-validation. GridSearchCV will try combinations within the previously defined space. For example, for a random forest classifier, you might want to test the maximum depth of several different trees. GridSearchCV provides all possible values for each hyperparameter and looks at all combinations. Optuna uses its own history of attempts within the defined search space to determine which values to try next.

Apr 12, 2023 pm 07:46 PM

开源 Python 数据科学

Eight Python libraries that can boost your data science productivity and save valuable time

When doing data science, you can waste a lot of time coding and waiting for your computer to run something. So I have chosen some Python libraries that can help you save your precious time. 1. OptunaOptuna is an open source hyperparameter optimization framework that can automatically find the best hyperparameters for machine learning models. The most basic (and probably well-known) alternative is sklearn's GridSearchCV, which will try multiple hyperparameter combinations and choose the best one based on cross-validation. GridSearchCV will try combinations within the previously defined space. For example, for a random forest classifier, you might want to test the maximum depth of several different trees. GridSea

Apr 12, 2023 pm 05:01 PM

开发 Python 数据科学

Introduction to WSGI, uWSGI and uwsgi in Python

1. Overview WSGI, uWSGI and uwsgi are three related concepts. They are different tools and protocols used in web application development. The following is their detailed introduction: WSGI (Web Server Gateway Interface): WSGI is an interface specification between Python web applications and web servers. It defines a standard interface between applications and servers, allowing applications to run on different servers. running on the web server. The WSGI specification specifies the interface methods that applications must implement and that the server needs to support. The WSGI protocol enables a different Python Web

Apr 12, 2023 am 09:25 AM

工具开发 web

Which Python web framework has a short learning cycle and low learning cost?

Someone asked on Zhihu, which Python web framework has the shortest learning cycle and the lowest learning cost? Many people recommend Flask, an old lightweight web framework, which is indeed the first choice for beginners. I saw FastApi on Github these days and thought it was more lightweight than Flask. FastApi is a popular web framework that has emerged in the past two years and is suitable for novices to get started quickly. . In general, FastAPI has three advantages: fast, simple, and powerful. Its self-label is: FastAPI is a modern, fast (high-performance), web framework for building APIs with P

Apr 12, 2023 am 09:13 AM

Python web 框架