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Frank Rosenblatt - Wikipedia
Frank Rosenblatt (July 11, 1928 – July 11, 1971) was an American psychologist notable in the field of artificial intelligence. He is sometimes called the father of deep learning [1] for his pioneering work on artificial neural networks.
纪念神经网络之父:半个世纪后终于“平反” - 科技资政 - 欧亚系统 …
2021年3月26日 · 弗兰克·罗森布拉特(Frank Rosenblatt)博士在“感知机”上工作,他将其称作第一台“具有原创思想能力的机器”。 编者按:1950 年代初期,弗兰克·罗森布拉特提出了感知器(Perceptron)的概念。
感知机之争,杀死神经网络的“人工智能之父” - 知乎
2023年2月16日 · 弗兰克·罗森布拉特(Frank Rosenblatt, 1928年7月11日- 1971年7月11日),美国人工智能领域著名心理学家。 他有时被称为深度学习之父。 罗森布拉特出生在纽约新罗谢尔的一个犹太家庭,父亲是弗兰克博士和凯瑟琳·罗森布拉特。
最简单的神经网络——感知器算法(Perceptron Algorithm)原理 …
感知器(Perceptron)是Frank Rosenblatt在1957年就职于康奈尔航空实验室(Cornell Aeronautical Laboratory)时所发明的一种 人工神经网络 。 它可以被视为一种最简单形式的 前馈神经网络 ,是一种 二元线性分类器 。
Professor’s perceptron paved the way for AI – 60 years too soon
2019年9月25日 · When Rosenblatt died in 1971, his research centered on injecting material from trained rats’ brains into the brains of untrained rats. Today, many believe Rosenblatt has been vindicated. The principles underlying the perceptron helped spark the …
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Frank Rosenblatt: Creator of the Perceptron and AI Pioneer
2 天之前 · Frank Rosenblatt’s perceptron was more than just a technical breakthrough; it was a bridge between two fields that had long sought common ground—cognitive psychology and artificial intelligence. The perceptron introduced a simple but powerful model of how neurons in the brain might function to process information.
初探神经网络(二)单层感知机的Rosenblatt算法原理_rosenblatt …
1957年,美国心理学家Frank Rosenblatt提出一种具有单层计算单元的神经网络,称为感知机(Perceptron)。 这是第一次M-P模型脱离于生物学概念正式进入了人工智能领域。
Who Is the Father of Deep Learning? - IEEE Xplore
2019年12月7日 · We conclude that Frank Rosenblatt developed and explored all the basic ingredients of the deep learning systems of today, and that he should be recognized as a Father of Deep Learning, perhaps together with Hinton, LeCun and Bengio who have just received the Turing Award as the fathers of the deep learning revolution.