An optical convolutional neural network is demonstrated in which linear operations are implemented by lenses and spatial light modulators (SLMs), while an optical non-linearity is realized by a cesium vapor cell as a saturable absorber
Diffractive optical neural networks (DONNs) are emerging as high‐throughput and energy‐efficient har...
Deep neural network architectures have shown their superior performance in visual classification, au...
We present an intelligent all-optical neural network using a single laser diode that is provided wit...
An optical convolutional neural network is demonstrated in which linear operations are implemented b...
HIS REPORT DESCRIBES the construction of a dynamic optical hybrid system for imple-menting multi-lay...
International audience We propose a novel implementation of autonomous photonic neural networks...
We show that the Kak neural network is suitable for optical implementation using a bipolar matrix ve...
International audienceEach day, the available volume of numerical data increases. Collecting and ana...
The convolution neural network (CNN) is a classical neural network with advantages in image processi...
A scalable optical convolutional neural network (SOCNN) based on free-space optics and Koehler illum...
We demonstrate the use of machine learning through convolutional neural networks to solve inverse de...
International audienceWe implement a fully parallel photonic neural network based on the spatiall...
Can computers be built to solve problems, such as recognizing patterns, that entail memorizing all p...
SIGLEAvailable from British Library Document Supply Centre- DSC:D59804 / BLDSC - British Library Doc...
International audienceWe implement a fully parallel photonic neural network based on the spatiall...
Diffractive optical neural networks (DONNs) are emerging as high‐throughput and energy‐efficient har...
Deep neural network architectures have shown their superior performance in visual classification, au...
We present an intelligent all-optical neural network using a single laser diode that is provided wit...
An optical convolutional neural network is demonstrated in which linear operations are implemented b...
HIS REPORT DESCRIBES the construction of a dynamic optical hybrid system for imple-menting multi-lay...
International audience We propose a novel implementation of autonomous photonic neural networks...
We show that the Kak neural network is suitable for optical implementation using a bipolar matrix ve...
International audienceEach day, the available volume of numerical data increases. Collecting and ana...
The convolution neural network (CNN) is a classical neural network with advantages in image processi...
A scalable optical convolutional neural network (SOCNN) based on free-space optics and Koehler illum...
We demonstrate the use of machine learning through convolutional neural networks to solve inverse de...
International audienceWe implement a fully parallel photonic neural network based on the spatiall...
Can computers be built to solve problems, such as recognizing patterns, that entail memorizing all p...
SIGLEAvailable from British Library Document Supply Centre- DSC:D59804 / BLDSC - British Library Doc...
International audienceWe implement a fully parallel photonic neural network based on the spatiall...
Diffractive optical neural networks (DONNs) are emerging as high‐throughput and energy‐efficient har...
Deep neural network architectures have shown their superior performance in visual classification, au...
We present an intelligent all-optical neural network using a single laser diode that is provided wit...
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