Pytorch tutorial w3schools Então, por que você deve continuar lendo este tutorial passo a passo? Bem, embora seja possível encontrar informações sobre praticamente tudo o que o PyTorch pode fazer, senti falta de ter uma abordagem estruturada, incremental e de primeiros W3Schools offers free online tutorials, references and exercises in all the major languages of the web. 小巧且隨時可部署的 PyTorch 程式碼範例. Running the Tutorial Code¶. It is widely used for building deep learning models and conducting research in various fields like computer vision, natural language processing, and reinforcement learning. Intro to PyTorch - YouTube Series PyTorch 1. Jan 20, 2025 · This blog post is a slightly updated version of my original "Understanding PyTorch with an example: a step-by-step tutorial". After completing this tutorial you will find yourself at a moderate level of expertise in using OpenCV-Python from where you can take yourself to next levels. Python Basics: Python Tutorial: Your Gateway to Programming Introduction to Python Hello there, aspiring programmer！ I'm thrilled to be your guide on this exciting journey into the world of Pyth Home Programing Languages Web Technologies Database Trending Technologies Learn about the latest PyTorch tutorials, new, and more . The main principle of neural network includes a collection of basic elements, i. It is 100% pure Java application for load and performance testing. Nesta seção do artigo, vamos criar um modelo simples de rede neural artificial usando a biblioteca PyTorch. During a forward pass, autograd records all operations on a gradient-enabled tensor and creates an acyclic graph to find the relationship between the tensor and all operations. We can split the data types into three main categories: Mar 1, 2025 · PyTorch is an open-source deep learning framework that simplifies building and training neural networks with features like dynamic computation graphs, GPU acceleration, and efficient data handling, making it suitable for both beginners and researchers. PyTorch Recipes. The workflow of PyTorch is as close as you can get to python’s scientific computing library – numpy. 相信尝试找到此教程的你，已经知道 PyTorch 的用途。 找到此教程的你，也许跟我一样，尝试过各种教程，官方的教程文档，各色的视频，但发现都不是很友好。 Run PyTorch locally or get started quickly with one of the supported cloud platforms. In the tutorial, most of the models were implemented with less than 30 lines of code. Age Detection Our goal here is to create a program that will predict the gender and age of the person using an image. [ 22 ] PyTorch 2. 2) was released on August 08, 2019 and you can see the installation steps for it using this link. --A Quick PyTorch 2. Intro to PyTorch - YouTube Series Sep 29, 2024 · It is compatible with the majority of Python libraries (e. 5_余霆嵩. Intro to PyTorch - YouTube Series This tutorial introduces you to a complete ML workflow implemented in PyTorch, with links to learn more about each of these concepts. At its core, PyTorch provides two main features: An n-dimensional Tensor, similar to numpy but can run on GPUs; Automatic differentiation for building and training neural networks Run PyTorch locally or get started quickly with one of the supported cloud platforms. utils. Tutorials. Whats new in PyTorch tutorials. Explore our detailed PyTorch tutorial, from setup to advanced techniques in deep learning. jMeter is an Open Source testing software. Explore our extensive YAML tutorial to learn about its syntax, data structures, and practical uses in various applications. In this example, we will build a simple 1 layer Neural Network in PyTorch to solve a linear regression problem. I will demonstrate basic PyTorch operations and show you how similar they are to NumPy. -- AppML stands for Application Modeling Language. À medida que sua popularidade cresce, mais e mais empresas estão mudando do TensorFlow para o PyTorch, tornando-se agora o melhor momento para começar a usar o PyTorch. Your first piece of homework is to read through the documentation on torch. PyTorch 食譜. 이 튜토리얼에서는 PyTorch 의 핵심적인 개념을 예제를 통해 소개합니다. Data caching simplifies and speeds up computation pipelines. It will specifically be useful for penetration testing professionals. • The self parameter is a reference to the current instance of the class, and is used to W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Intro to PyTorch - YouTube Series Mar 3, 2021 · Autograd #. Nov 7, 2024 · In this tutorial, we are going to see the entire process of creating an Age predictor and Gender classifier project using OpenCV. 11. Tutorial. A step-by-step guide to building a complete ML workflow with PyTorch. It has more than 800 applications to support various features like generating new leads, acquiring new leads, increasing sales and closing the deals. Run PyTorch locally or get started quickly with one of the supported cloud platforms. In this tutorial we will try to make it as easy as possible to understand the different concepts of machine learning, and we will work with small easy-to-understand data sets. Installing PyTorch • 💻💻On your own computer • Anaconda/Miniconda: conda install pytorch -c pytorch • Others via pip: pip3 install torch • 🌐🌐On Princeton CS server (ssh cycles. Intro to PyTorch - YouTube Series Run PyTorch locally or get started quickly with one of the supported cloud platforms. 0 Tutorial: A fasssssst introduction to PyTorch 2. Feb 27, 2024 · What is Pytorch? PyTorch is an open-source machine learning library for Python developed by Facebook's AI Research Lab (FAIR). a particular node “turns on” under certain conditions. pdf; PyTorch_tutorial_0. pdf; PyTorch under the hood A guide to understand PyTorch internals. Activation functions introduce non-linearities to a neural network. 모델을 저장하거나 불러올 때는 3가지의 핵심 함수와 익숙해질 필요가 在本教程中，您将学习如何使用PyTorch教程PyTorch是Python的开源机器学习库，完全基于Torch。 它主要用于自然语言处理等应用程序。 PyTorch是由Facebook的人工智能研究小组与Uber的Pyro软件一起开发的，用于内置概率编程的概念。 Author: Justin Johnson, 번역: 박정환,. Discover the essentials of Redis through our tutorial, including installation, commands, and practical tips for effective use. In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. 2. It is widely used as an issue-tracking tool for all types of testing. These derivatives are called gradients. Learn the Basics. e. Click the button to open the notebook and run the code yourself. The implementation we end up with is hopefully correct but definitely not perfect. Microsoft. It includes several basic inputs such as x1, x2. PyTorch 入門 - YouTube 系列. This Flutter tutorial has everything you need to know about the Flutter framework, from its installation to writing advanced applications. The same code runs fine on another computer. Intro to PyTorch - YouTube Series Learn Fortran programming from the ground up with our comprehensive tutorial covering syntax, data types, control structures, and more. Linear Regression. We'll use the FashionMNIST dataset to train a neural network that predicts if an input image belongs PyTorch - Introduction - PyTorch is defined as an open source machine learning library for Python. Autograd is a PyTorch package used to calculate derivatives essential for neural network operations. You will learn about common loss functions and optimizer algorithms while building working neural networks to make predictions about real-world datasets. To analyze data, it is important to know what type of data we are dealing with. An introduction to building a complete ML workflow with PyTorch. W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Keras is a deep learning API designed for human beings, not machines. 0 is the currently available version. Basics di Python: Tutorial Python: La Tua Porta Verso la Programmazione Introduzione a Python Ciao aspirante programmatore！ Sono entusiasta di essere il tuo guida in questo avventuroso viaggio nel PyTorch 教程 PyTorch 是一个开源的机器学习库，主要用于进行计算机视觉（CV）、自然语言处理（NLP）、语音识别等领域的研究和开发。 PyTorch由 Facebook 的人工智能研究团队开发，并在机器学习和深度学习社区中广泛使用。 Learn YAML from the basics to advanced concepts with our comprehensive tutorial. Prerequisites This tutorial is designed and developed for absolute beginners. Flutter is a UI toolkit used to develop applications for both mobile and desktop using a single programming language and code base. Its clean and straightforward syntax makes it beginner-friendly, while its powerful libraries and frameworks makes it perfect for developers. 0 RELEASED A superpower for ML developers. This repository provides tutorial code for deep learning researchers to learn PyTorch. Intro to PyTorch - YouTube Series Author: Matthew Inkawhich, 번역: 박정환, 김제필,. In the video tutorial below, I take you through this process using the demo example of a handwritten digit recognition Jun 23, 2023 · In this tutorial, you’ll learn how to use PyTorch for an end-to-end deep learning project. Learn how to load data, build deep neural networks, train and save your models in this quickstart guide. Learn Redis with our comprehensive tutorial covering installation, data types, commands, and best practices for using this powerful in-memory data structure store. 教學文件. xn which produces a binary output if the sum is greater than the activation potential. Explore syntax, data structures, and practical examples. 0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and Основы Python: Python Tutorial: Ваше Введение в Программирование Введение в Python Привет, молодой Python Grundlagen: Python-Tutorial: Ihr Einstieg in die Programmierung Einführung in Python Hallo daar, aufstrebender Programmierer！ Ich bin begeistert, Ihr Guide auf dieser spannenden Reise in die A Quick PyTorch 2. PyTorch 教學文件的新功能. Deep Learning. Community Stories. Learn about the latest PyTorch tutorials, new, and more . It is primarily used for applications such as natural language processing. This tutorial has been prepared for beginners to help them understand the fundamentals of Kali Linux. So much so there's a whole documentation page dedicated to the torch. pdf; PyTorch Recipes - A Problem-Solution Approach - Pradeepta Mishra. In this course, you will learn how to create, train, and test artificial neural networks in PyTorch, one of the most popular deep learning frameworks in Python. Lernen Sie PyTorch-Regression und Bildklassifizierung anhand eines Beispiels. Bug report - report a failure or outdated information in an existing tutorial. 0 and covers every topic, from fundamental to advanced. 0 Speedups 3-minute overview Fusion Graph capture 在本地端執行 PyTorch，或透過支援的雲端平台快速開始. pandas, matplotlib, seaborn, plotly, Keras, PyTorch, SymPy(latex)). princeton. React is the most recommended JavScript library to learn now because of its core foundation of features and large community. 2. Tutorial de PyTorch: explicação passo a passo de como criar uma rede neural desde o início. FastAPI has been developed by Sebastian Ramirez in Dec. Easy to use API – It is as simple as python can be. O PyTorch é uma das bibliotecas mais conhecidas para aprendizado Run PyTorch locally or get started quickly with one of the supported cloud platforms. Open Run PyTorch locally or get started quickly with one of the supported cloud platforms. Learn the fundamentals of PyTorch with this comprehensive tutorial covering installation, basics, and advanced features for deep learning. 2018. Existem muitos tutoriais PyTorch por aí e sua documentação é bastante completa e extensa. These allow the model to learn non-linear relationships in the dataset. ) Jun 12, 2024 · PyTorch-Tutorial - PyTorch ist eine auf Torch basierende Bibliothek für maschinelles Lernen für Python. Sep 19, 2023 · The TensorFlow tutorials are written as Jupyter notebooks and run directly in Google Colab—a hosted notebook environment that requires no setup. In general, frameworks like these are created very differently and are a lot stronger and weaker in This notebook explains how to implement doc2vec using PyTorch. How to use Streamlit Install Streamlit On Windows: 1. Le deep learning est un type d’apprentissage machine qui est utilisé pour des applications de reconnaissance d’images ou de traitement automatique du langage. Learn the latest technologies and programming languages including CodeWhisperer, Google Assistant, Dall-E, Business Intelligence, Claude AI, SwiftUI, Smart Grid W3Schools offers free online tutorials, references and exercises in all the major languages of the web. 0, what's new and how to get started along with resources to learn more. 이 파이토치(PyTorch) 기본 익히기¶. We will use a process built into PyTorch called convolution. Developer Tools----Follow. WPF stands for Windows Presentation Foundation. Please explain why this tutorial is needed and how it demonstrates PyTorch value. 이 문서에서는 PyTorch 모델을 저장하고 불러오는 다양한 방법을 제공합니다.  But predicting age might not be as simple as you th 提供主要网络编程语言的免费教程,涵盖HTML,CSS,JavaScript,Python,Java,SQL,PHP,XML 等编程语言,数据库,大数据分析,编程工具,运维工具,通信技术等热门技术主题。 W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Run PyTorch models in the browser with JavaScript by first converting your PyTorch model into the ONNX format and then loading that ONNX model in your website or app using ONNX. After completing this tutorial, you will find yourself at a moderate level of expertise from where you can take yourself to the next levels. Using CUDA, one can utilize the power of Nvidia GPUs to perform general computing tasks, such as multiplying matrices and performing other linear algebra operations, instead of just doing graphical calculations. Remember how I said PyTorch is quite similar to Numpy earlier? Let’s build on that statement now. pdf; pytorch-internals. Explanation : PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab. PyTorch 是一个 Torch7 团队开源的 Python 优先的深度学习框架，提供两个高级功能：强大的 GPU 加速 Tensor 计算（类似 numpy）构建基于 tape 的自动升级系统上的深度神经网络 你可_来自PyTorch 中文教程，w3cschool编程狮。 This tutorial walks through the installation of Keras, basics of deep learning, Keras models, Keras layers, Keras modules and finally conclude with some real-time applications. 68. 教學. Our network will recognize images. org and get started building machine learning models with PyTorch! Pytorch. It is free and open-source software released under the Modified BSD license. This tutorial explains the features that you need to understand to build WPF applications and how it brings a fundamental change in Windows applications. When submitting a bug report, please run: python3 -m torch. This tutorial will abstract away the math behind neural networks and deep learning. pdf; pytorch卷积、反卷积 - download Mar 24, 2021 · Go check out the tutorials on PyTorch. 0 After PyTorch 2. It's aimed at relative beginners, but basic understanding of word embeddings (vectors) and PyTorch are assumed. Intro to PyTorch - YouTube Series PyTorch ii About the Tutorial PyTorch is an open source machine learning library for Python and is completely based on Torch. Define and initialize the neural network¶. PyTorch 教學的最新資訊. Jun 14, 2020 · Hi. Keras focuses on debugging speed, code elegance & conciseness, maintainability, and deployability. This ReactJS tutorial includes all of the most recent updates up to version 18. FastAPI 0. . js. PyTorch is developed by Facebook's artificial-intelligence research group along with Uber's "Pyro" This tutorial is designed for the computer science students and professionals who wish to gain expertise in the field of computer vision applications. 學習基礎知識. KERAS 3. Intro to PyTorch - YouTube Series Feb 18, 2025 · PyTorch is a python based library built to provide flexibility as a deep learning development platform. 0+cu102 documentation; Learning PyTorch with Examples; PyTorch Tutorial: How to Develop Deep Learning Models; PyTorch Tutorial for Deep Learning Researchers; PyTorch Fundamentals; With examples like reinforcement learning, image classification, and natural language processing Feb 28, 2024 · In this article, we'll see three prominent deep learning frameworks: TensorFlow, PyTorch and also Keras are founded by Google, Facebook, and also Python respectively and they are quite widely used among the researchers and also the practitioners. Confira este espaço de trabalho do DataCamp para acompanhar o código. Python 基础: Python教程：编程入门之路 Python简介 你好，有抱负的程序员！我很激动能在这段令人兴奋的Python学习旅程中做你的向导。作为一个有着十多年计算机科学教学经验的人，我可以自信地说，Python是 Apr 17, 2019 · Python Class Definition 22 • The __init__() function is called automatically every time the class is being used to create a new object. Less code is needed to create amazing web apps. Basics of PyTorch. 了解如何扩展调度器以添加驻留在 pytorch/pytorch 仓库之外的新设备，并维护它以与原生 PyTorch 设备保持同步。 扩展 PyTorch、前端 API、C++ 通过 PrivateUse1 促进新的后端集成 Run PyTorch locally or get started quickly with one of the supported cloud platforms. Audience This tutorial is prepared for professionals who are aspiring to make a career in the field of deep learning and neural network framework. Instead, we’ll focus on learning the mechanics behind how 파이토치(PyTorch) 기본 익히기|| 빠른 시작|| 텐서(Tensor)|| Dataset과 Dataloader|| 변형(Transform)|| 신경망 모델 구성하기|| Autograd|| 최적화(Optimization)|| 모델 저장하고 불러오기 이번 장에서는 기계 학습의 일반적인 작업들을 위한 API를 통해 실행됩니다. cs. Automatic differentiation for building and training neural networks Mar 1, 2025 · PyTorch is a deep learning library built on Python and Torch (a Lua-based framework). It provides GPU acceleration, dynamic computation graphs, and an intuitive interface for deep learning researchers and developers. Explore our extensive Fortran tutorial to learn programming concepts, syntax, and techniques in Fortran. Intro to PyTorch - YouTube Series 在本機執行 PyTorch，或透過支援的雲端平台快速開始. 0 Tutorial A Quick PyTorch 2. There's room for improvement in efficiency Jan 19, 2023 · User-friendly API: PyTorch has a user-friendly and intuitive API, which makes it easy to implement, debug, and experiment with different models. You can run this tutorial in a couple of ways: In the cloud: This is the easiest way to get started!Each section has a “Run in Microsoft Learn” and “Run in Google Colab” link at the top, which opens an integrated notebook in Microsoft Learn or Google Colab, respectively, with the code in a fully-hosted environment. ) from the input image. I did it nothing helps. 0 Tutorial Table of contents 30-second intro Will my old PyTorch code still work? Quick code examples Before PyTorch 2. jMeter is designed to cover various categories of tests such as load testing, functional testing, performance testing, regression testing, etc. PyTorch follows a "define-by-run" approach, meaning that its computational graphs a 파이토치(PyTorch) 한국어 튜토리얼에 오신 것을 환영합니다. 더 자세히 알아보려면 각 장(section)의 링크를 참고하세요 Run PyTorch locally or get started quickly with one of the supported cloud platforms. This tutorial introduces the fundamental concepts of PyTorch through self-contained examples. 熟悉 PyTorch 的概念和模組. Bite-size, ready-to-deploy PyTorch code examples. Authors: Suraj Subramanian, Seth Juarez, Cassie Breviu, Dmitry Soshnikov, Ari Bornstein 번역: 박정환 대부분의 머신러닝 워크플로우는 데이터 작업과 모델 생성, 모델 매개변수 최적화, 학습된 모델 저장이 포함됩니다. 透過我們引人入勝的 YouTube 教學系列，掌握 PyTorch Run PyTorch locally or get started quickly with one of the supported cloud platforms. collect_env to get information about your environment and add the output to the bug report. 透過我們引人入勝的 YouTube 教學系列，掌握 PyTorch 基礎知識 PyTorch中文文档提供了PyTorch的详细说明和使用指南，帮助用户更好地理解和应用该框架。 CUDA is a parallel computing platform and an API model that was developed by Nvidia. Tensor for 10-minutes. Convolution adds each element of an image to its local neighbors, weighted by a kernel, or a small matrix, that helps us extract certain features (like edge detection, sharpness, blurriness, etc. PyTorch 簡介 - YouTube 系列. 4_余霆嵩. 0. Feb 13, 2025 · Python Tutorial - Python is one of the most popular programming languages today, known for its simplicity, extensive features and library support. , artificial neuron or perceptron. CS224N: PyTorch Tutorial (Winter '21)¶ Author: Dilara Soylu¶ In this notebook, we will have a basic introduction to PyTorch and work on a toy NLP task. Any ideas? Mar 19, 2025 · PyTorch is a deep learning library built on Python and Torch (a Lua-based framework). Following resources have been used in preparation of this notebook: "Word Window Classification" tutorial notebook by Matt Lamm, from Winter 2020 offering of CS224N Download this code from https://codegive. , and it requires JDK 5 or higher. This tutorial is designed for the readers pursuing education in database management domain and all enthusiastic readers. It is initially developed by Facebook artificial-intelligence research group, and Uber’s Pyro software for probabilistic programming which is built on it. Before starting this tutorial, it is recommended to finish Official Pytorch Tutorial. g. At its core, PyTorch provides two main features: An n-dimensional Tensor, similar to numpy but can run on GPUs. With its dynamic computation graph, PyTorch allows developers to modify the network’s behavior in real-time, making it an excellent choice for both beginners an Oct 4, 2022 · Some of the best PyTorch tutorials include: PyTorch Tutorials 1. PyTorch loves tensors. PyTorch est facile à apprendre et utiliser comme il est écrit en Python. AppML is developed and maintained by W3Schools. This tutorial introduces you to a complete ML workflow implemented in PyTorch, with links to learn more about each of these concepts. 精簡、隨時可部署的 PyTorch 程式碼範例. 本书包含十二章，分三篇。分别是pytorch基础、项目应用和工业落地。 第一章 PyTorch 简介与安装，详细介绍Pytorch环境安装，包括Anaconda、Pycharm、CUDA&cuDNN和Jupyter Notebook。 第二章 PyTorch 核心模块，介绍代码结构，Tensor与自动求导机制。 Sep 30, 2023 · PyTorch est un framework pour créer des modèles de deep learning. Mar 4, 2025 · In this post, we’ll walk through what deep learning is, why PyTorch has become a favorite among AI developers, and how to use PyTorch to build a simple model that predicts salaries based on just age and years of experience. Active community: PyTorch has a large and active community, which means that you can find a lot of tutorials, pre-trained models, and other resources to help you get started. • Miniconda is highly recommended, because: Apr 9, 2023 · PyTorch RNN Tutorial - Name Classification Using A Recurrent Neural Net ; PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers ; My Minimal VS Code Setup for Python - 5 Visual Studio Code Extensions ; NumPy Crash Course 2020 - Complete Tutorial ; Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask FastAPI is a modern Python web framework, very efficient in building APIs. Intro to PyTorch - YouTube Series W3Schools offers free online tutorials, references and exercises in all the major languages of the web. 0 Bringing research and production together Presentation. A combinação do PyTorch com ferramentas poderosas de construção de rede neural profunda e fáceis de uso, torna-o uma escolha popular entre cientistas de dados. Most machine learning workflows involve working with data, creating models, optimizing model parameters, and saving the trained models. Creating tensors¶. Tensor class. 본질적으로, PyTorch에는 두가지 주요한 특징이 있습니다: NumPy와 유사하지만 GPU 상에서 실행 가능한 n-차원 텐서(Tensor), 신경망을 구성하고 학습하는 과정에서의 자동 미분(Automatic differentiation). An overview of the three most common errors in PyTorch (shape, device and datatype errors), how they happen and how to fix them. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. At the top of each tutorial, you'll see a Run in Google Colab button. Familiarize yourself with PyTorch concepts and modules. It is a powerful framework for building Windows applications. It is used for applications such as natural language processing. Learn how our community solves real, everyday machine learning problems with PyTorch. 파이토치 한국 사용자 모임은 한국어를 사용하시는 많은 분들께 PyTorch를 소개하고 함께 배우며 성장하는 것을 목표로 하고 있습니다. 이 문서 전체를 다 읽는 것도 좋은 방법이지만, 필요한 사용 예의 코드만 참고하는 것도 고려해보세요. To make this tutorial self-contained I am going to re-introduce them again here. Salesforce is a leading CRM (Customer Relationship Management) software which is served form cloud. By the end, you’ll understand the essential building blocks of deep learning and have enough knowledge to start Feb 3, 2025 · PyTorch Tutorial PyTorch is an open-source deep learning framework designed to simplify the process of building neural networks and machine learning models. It is also a summarized version of the initial chapters from the first volume of my series of books Deep Learning with PyTorch Step-by-Step: A Beginner's Guide. Now you might ask, Why Would we Use PyTorch Guide to Build Deep Learning Models. Install Anaconda and create your environment. JIRA is a project management tool used for issues and bugs tracking system. com Title: Introduction to PyTorch - A W3Schools Tutorial with Code ExamplesPyTorch is an open-source machine learni Learning PyTorch with Examples¶ Author: Justin Johnson. Learning PyTorch can seem intimidating, with its specialized classes and workflows – but it doesn’t have to be. Published in PyTorch. One way of thinking about activation functions is that they serve to “turn on” or “turn off” nodes, allowing the neural network to recognize specific properties of the training dataset (e. edu) • Non-CS students can request a class account. Oct 22, 2024 · The latest version of PyTorch (PyTorch 1. Jun 30, 2021 · To make this tutorial comparable with my previous post "Getting started with Tensorflow" I am going to re-use the same simulated datasets. AppML is very easy to use and is used to make Single Page Application in an efficient way. Es ähnelt Numpy, bietet aber leistungsstarke GPU-Unterstützung. bseodrebu wamhe tgpgwg uthg xqth jdbn rievri zqam hhiidc yangg vtsfgu wtg wlo nqdvz lqena