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Generating Images with GANs in PyTorch: From Beginner to Advanced | Part 6 of 6
In this tutorial, we will be learning about Image Generation using Generative Adversarial Networks (GANs) in PyTorch. GANs are a…
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Epic of DJANGO: Outlaw of the Wild Land #Complete in One Part
มหากาพย์ DJANGO โคตรคนแดนเถื่อน #ภาคเดียวจบ (Django Unchained) is a 2012 American Western film written and directed by Quentin Tarantino. The film…
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PySimpleGUI 2020: Part 1.5 – PyCharm Setup FAST VERSION – EXPERIMENTAL
In this tutorial, we will walk through the process of setting up PyCharm for PySimpleGUI 2020 development. This specific version…
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How to Implement Data Parallelism in PyTorch? Principles of DP, DDP, and FSDP Data Parallelism. Series 7 on Large Models and Distributed Training (Part 1)
在深度学习训练过程中，数据并行是一种常见的加速方法，它可以利用多个GPU或多台机器同时处理不同的数据进行训练。PyTorch提供了几种数据并行的实现方式，包括DataParallel (DP)、DistributedDataParallel (DDP)和FullyShardedDataParallel (FSDP)。 DataParallel (DP)是最简单的数据并行实现方式，它适用于单机多卡的训练。DP将模型复制到所有的GPU上，每个GPU负责处理一部分数据，然后将所有GPU的梯度累加，最后在主GPU上更新模型参数。DP的实现非常简单，只需要一行代码即可： model = nn.DataParallel(model) 这样就可以将模型复制到所有的GPU上并实现数据并行训练。然而，DP存在一个明显的缺点，即当模型很大时，将整个模型复制到每个GPU上会占用大量的显存，导致内存不足错误。为了解决这个问题，PyTorch引入了DistributedDataParallel (DDP)和FullyShardedDataParallel (FSDP)。 DistributedDataParallel (DDP)是一种更加灵活和高效的数据并行实现方式，它适用于分布式训练。DDP不会将整个模型复制到每个GPU上，而是将模型的每一层分布到不同的GPU上，每个GPU只负责处理自己分配到的部分。DDP中的每个进程都有一个本地模型，每个进程的本地模型的参数会在每个步骤中与其他进程的本地模型的参数同步。DDP的实现如下： model = nn.parallel.DistributedDataParallel(model, device_ids=[gpu_id]) 需要注意的是，DDP需要配合使用torch.distributed进行进程间的通信和同步。要使用DDP，首先需要初始化分布式训练环境： import…
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Adding a GUI “Front End” to Any Command Line Program with PySimpleGUI 2020 – Part 2
In this tutorial, we will continue exploring PySimpleGUI 2020 by discussing how to add a GUI "Front End" to any…
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Introduction to Python Tkinter Grid Geometry Manager: Part 1
In this tutorial, we will be discussing Python Tkinter’s grid geometry manager. The grid geometry manager is a powerful tool…
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Italian Keras Tutorial: Part 1 (Dense and Sequential)
In this tutorial, we are going to learn how to use Keras, a powerful and easy-to-use deep learning library, to…
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Guide to the complete set: Practical Machine Learning with Scikit-Learn, Keras & TensorFlow. Chapter 1 Part 1
Hướng dẫn trọn bộ: Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow là một cuốn sách rất phổ biến và…
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Getting Started with Python Tkinter: Part 1 – Learning Elements, Layouts, and Events
In this tutorial, we will cover the basics of creating a GUI application using Python’s Tkinter library. We will cover…
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Demonstration of PySimpleGUI Python Code – Exploring the ‘right_click_menu’ Parameter in the sg.Window Method (Part 1)
PySimpleGUI is a popular Python GUI library that makes it easy to create graphical user interfaces for desktop applications. One…
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