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Frank Rosenblatt

Generative Linguistics and Neural Networks at 60: Foundation, Friction, and Fusion*
Neural Networks and the Distorted Automation of Intelligence As Statistical Inference Matteo Pasquinelli
Arxiv:2012.03642V1 [Cs.LG] 7 Dec 2020 Results for Learning Sparse Perceptrons and Compare the Results to Those Obtained from Subgradient- Based Methods
Deep Learning: State of the Art (2020) Deep Learning Lecture Series
Neurons Spike Back: the Invention of Inductive Machines and the Artificial Intelligence Controversy Dominique Cardon, Jean-Philippe Cointet, Antoine Mazieres
Arxiv:2109.01517V1 [Cs.AI] 3 Sep 2021
Curriculum Vitae
Marvin Lee Minsky
Perceptrons: an Associative Learning Network
The Emergence of Fuzzy Sets in the Decade of the Perceptron—Lotfi A
Connectionism: Past, Present, and Future Jordan B
Machine Learning
The Curious Case of Connectionism
On the Origin of Deep Learning
Notes on a Brief History of Deep Learning
A Brief Summary of the History of Neural Networks and Deep Learning
Cornell Student Homophile League
Master's Thesis

Top View

Deep Learning: What’S All the Fuss About?
IMPACT of ARTIFICIAL INTELLIGENCE and NATURAL LANGUAGE PROCESSING on PROGRAMMING and SOFTWARE ENGINEERING - Radha Guha, Ph.D
Frank Rosenblatt, Alan M. Turing, Connectionism, and Artificial Intelligence John M
Frank Rosenblatt, My Distinguished Advisor
The Computational Limits of Deep Learning Arxiv:2007.05558V1 [Cs.LG] 10 Jul 2020
Notes from the Ai Frontier Insights from Hundreds of Use Cases
Master's Thesis
Deep Learning Opening the Black Box (Part 2) Overview
Frank Rosenblatt, My Distinguished Advisor

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