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Michael Nielsen. I'm a scientist. I helped pioneer quantum computing and the modern open science movement. I also have a strong side interest in artificial intelligence. All are part of a broader interest in ideas and tools that help people think and create, both individually and collectively. [ bio, cv ] I work as a Research Fellow at the ...
Neural Networks and Deep Learning is a free online book. The book will teach you about: Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data. Deep learning, a powerful set of techniques for learning in neural networks.
Articles 1–20. Astera Institute - Cited by 85,265 - intelligence augmentation - collective intelligence - open science - quantum information - quantum computing.
Michael Aaron Nielsen (born January 4, 1974) is a quantum physicist, science writer, and computer programming researcher living in San Francisco. [3] Work. In 1998, Nielsen received his PhD in physics from the University of New Mexico.
Searching for the numinous. mnielsen has 34 repositories available. Follow their code on GitHub.
By Michael Nielsen / Dec 2019 Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer what to do, breaking big problems up into many small, precisely defined tasks that the computer can easily perform.
The first thing we need is to get the MNIST data. If you're a git user then you can obtain the data by cloning the code repository for this book, git clone https://github.com/mnielsen/neural-networks-and-deep-learning.git. If you don't use git then you can download the data and code here.
Curriculum Vitae: Michael Nielsen. Education. Ph.D. Physics, University of New Mexico (1998), “Quantum Information Theory”, advised by Carlton M. Caves. M.Sc. Physics, University of Queensland (1998), “Quantum Measurements and Quantum Chaos”, advised by Gerard J. Milburn.
Jun 10, 2011 · Below I list the remaining 21 videos, which cover subjects including the basic model of quantum computing, entanglement, superdense coding, and quantum teleportation. To work through the videos you need to be comfortable with basic linear algebra, and with assimilating new mathematical terminology.
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