Author: Pulkit Sharma Translator: Chen Zhiyan Proofreader: Ding Nanya This article contains about 3900 words, and is recommended to read for 10+ minutes. This article analyzes and compares the advantages and applications of five very useful deep learning frameworks. Overview Since I started my career, I have always been a programmer. I enjoy coding from … Read more
Click on the above “Beginner’s Visual Learning” to choose to add “star” or “top” Important content delivered promptly For students learning data science, implementing a neural network from scratch can help you understand many interesting concepts. However, I do not think it is wise to build deep learning models on real datasets unless you have … Read more
Click the above “Beginner’s Guide to Vision“, select to add “Starred” or “Pinned“ Important content delivered promptly Author: Diving Champion @ Zhihu Source: https://zhuanlan.zhihu.com/p/272767300 Editor: Jishi Platform Jishi Guide The author summarizes their experience in the conversion of models from Pytorch to ONNX, mainly introducing the significance of this conversion work, the path for model … Read more
Source: 51CTO.com ◆ ◆ ◆ Introduction In recent years, machine learning has begun to enter the mainstream in unprecedented ways. This trend is not solely driven by low-cost cloud environments or extremely powerful GPU hardware; in addition, the available frameworks for machine learning have also seen explosive growth. All these frameworks are open-source, but more … Read more
This article mainly summarizes the notes from the CS231n course, adding knowledge from the Deep Learning Book and practical TensorFlow, as well as the Caffe framework. 1. Convolutional Neural Networks 1.1 Convolutional Neural Networks vs. Conventional Neural Networks 1.1.1 Similarities Convolutional networks are a type of neural network specifically designed to process data with a … Read more
Authorized Reprint from CSDN Source: codewords.recurse.com Translator: Liu Diwei, Reviewer: Liu Xiangyu, Editor: Zhong Ha Website: http://www.csdn.net Abstract: This article is based on the author’s reading of papers and practical tests, attempting to deceive neural networks. It gradually analyzes neural networks and the mathematical principles behind them, from tool installation to model training. The article … Read more