Understanding Backpropagation in Deep Learning

Understanding Backpropagation in Deep Learning

This article is a translated note of the Stanford University CS231N course, authorized by Professor Andrej Karpathy of Stanford University. This is a work of Big Data Digest, and unauthorized reproduction is prohibited. For specific requirements for reproduction, see the end of the article. Sign up now Machine Learning Training Registration is now open! Top-notch … Read more

The Separation of Neural Networks: A 32-Year Journey

The Separation of Neural Networks: A 32-Year Journey

Produced by Big Data Digest Compiled by: Andy The backpropagation algorithm belongs to deep learning and plays an important role in solving model optimization problems. This algorithm was proposed by Geoffrey Hinton, known as the father of deep learning. In 1986, he published a paper titled “Learning representations by back-propagating errors” (Rumelhart, Hinton & Williams, … Read more

How to Deceive Neural Networks to Recognize Pandas as Vultures

How to Deceive Neural Networks to Recognize Pandas as Vultures

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