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This article mainly introduces the configuration of TensorFlow on MacOS 12.x, aiming to help beginner machine learning users on Mac avoid some detours. In general, configuring the Mac version of TensorFlow only requires three steps: the first step is to set up a virtual environment, it is recommended to choose Miniconda; the second step is … Read more
This article contains 7196 words, and it is recommended to read in 10 minutes This article explains how to use TensorFlow for machine learning and deep learning. 1. Introduction The success of deep learning algorithms has led to groundbreaking advances in artificial intelligence research and applications, greatly changing our lives. More and more developers are … Read more
Introduction The main difference between the CPU version and the GPU version is the running speed; the GPU version runs faster. Therefore, if your computer’s graphics card supports CUDA, it is recommended to install the GPU version. The CPU version requires no additional preparation and can generally be installed on any computer without needing a … Read more
Click the “Beginner’s Guide to Vision” above, and choose to add “Star” or “Top“ Heavy content delivered promptly Why Use Multi-GPU Parallel Training In simple terms, there are two reasons: the first is that the model cannot fit on a single GPU, but can run completely on two or more GPUs (like the early AlexNet). … Read more
Original Title: An Introduction to PyTorch – A Simple yet Powerful Deep Learning Library Author: FAIZAN SHAIKH Translator: He Zhonghua This article is about 3600 words, recommended reading time is 15 minutes.This article will guide you step by step through PyTorch with practical examples. Introduction Every once in a while, a Python library emerges that … Read more
Introduction The original text is translated from: Deep Learning with PyTorch: A 60 Minute Blitz Translated by: Lin Buqing（https://www.zhihu.com/people/lu-guo-92-42-88） Lin Buqing (Lin Yanyan) is my student. This is what I asked her to study when she started learning PyTorch, and she translated this tutorial into Chinese to share with everyone. I hope it helps you … Read more
Click on the above “Beginner Learning Visuals” to select “Star” or “Pin” Important content delivered to you first Selected from | Medium Author | Aakash N S Contributors | Panda This article is the fourth in this series and will introduce how to train deep neural networks using PyTorch on a GPU. In previous tutorials, … Read more
Click on the above“Mechanical and Electronic Engineering Technology” to follow us Multiprocessing is a term in computer science that refers to running multiple processes simultaneously, where these processes can execute different tasks at the same time. In computer operating systems, a process is the basic unit of resource allocation, and each process has its own … Read more
Source: Read Chip Technology This article is approximately 4800 words, and it is recommended to read it in 10 minutes. This article introduces 9 tips for training neural networks using Pytorch. Image Source: unsplash.com/@dulgier In fact, your model may still be at the level of the Stone Age. You might still be training with 32-bit … Read more
Click the above “Beginner’s Guide to Vision” to select “Star” or “Top” Heavyweight content delivered first-hand This article is sourced from | Visual Algorithms Don’t let your neural network end up like this Let’s face it, your model might still be stuck in the Stone Age. I bet you’re still using 32-bit precision or GASP … Read more