LeNet Architecture
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LeNet Architecture
LeNet is a series of convolutional neural network architectures created by a research group in AT&T Bell Laboratories during the 1988 to 1998 period, centered around Yann LeCun. They were designed for reading small grayscale images of handwritten digits and letters, and were used in ATM for reading Cheque, cheques. Convolutional neural networks are a kind of Feedforward neural network, feed-forward neural network whose artificial neurons can respond to a part of the surrounding cells in the coverage range and perform well in large-scale image processing. LeNet-5 was one of the earliest convolutional neural networks and was historically important during the development of deep learning. In general, when "LeNet" is referred to without a number, it refers to the 1998 version, the most well-known version. It is also sometimes called "LeNet-5" or "LeNet5". Development history In 1988, LeCun joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, New J ...
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Yoshua Bengio
Yoshua Bengio (born March 5, 1964) is a Canadian-French computer scientist, and a pioneer of artificial neural networks and deep learning. He is a professor at the Université de Montréal and scientific director of the AI institute Montreal Institute for Learning Algorithms, MILA. Bengio received the 2018 Turing Award, ACM A.M. Turing Award, often referred to as the "List of prizes known as the Nobel of a field or the highest honors of a field, Nobel Prize of Computing", together with Geoffrey Hinton and Yann LeCun, for their foundational work on deep learning. Bengio, Geoffrey Hinton, Hinton, and Yann LeCun, LeCun are sometimes referred to as the "Godfathers of AI". Bengio is the most-cited computer scientist globally (by both total citations and by h-index, ''h''-index), and the most-cited living scientist across all fields (by total citations). In 2024, Time (magazine), ''TIME'' Magazine included Bengio in its Time 100, yearly list of the world's 100 most influential people. ...
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LeNet Architecture
LeNet is a series of convolutional neural network architectures created by a research group in AT&T Bell Laboratories during the 1988 to 1998 period, centered around Yann LeCun. They were designed for reading small grayscale images of handwritten digits and letters, and were used in ATM for reading Cheque, cheques. Convolutional neural networks are a kind of Feedforward neural network, feed-forward neural network whose artificial neurons can respond to a part of the surrounding cells in the coverage range and perform well in large-scale image processing. LeNet-5 was one of the earliest convolutional neural networks and was historically important during the development of deep learning. In general, when "LeNet" is referred to without a number, it refers to the 1998 version, the most well-known version. It is also sometimes called "LeNet-5" or "LeNet5". Development history In 1988, LeCun joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, New J ...
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SPARCstation 10
The SPARCstation 10 (codenamed ''Campus-2'') is a workstation computer made by Sun Microsystems. Announced on May 19, 1992, the SPARCstation sold for between 18,495 at the low end to US$57,995 at the high end (equivalent to $– in ). Housed in pizza-box form factor, pizza-box case, the SPARCstation 10 was the first desktop computer capable of symmetric multiprocessing from the factory. Sun later replaced it with the SPARCstation 20. The 40-MHz SPARCstation 10 without external cache was the reference for the Standard Performance Evaluation Corporation, SPEC CPU95 benchmark. Sales Volume production commenced on September 1992. By the end of December 1992, the company had shipped over 19,000 SPARCstation 10s, across all models. In 1993, Sun shipped an additional 80,000 units. Between it and its successor the SPARCstation 20, Sun had sold a combined 250,000 units by February 1995. Specifications CPU support The SPARCstation 10 (SS10) contains two MBus (SPARC), MBus slots running ...
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