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Vincent Vanhoucke

Researcher at Google

Publications -  84
Citations -  118049

Vincent Vanhoucke is an academic researcher from Google. The author has contributed to research in topics: Artificial neural network & Reinforcement learning. The author has an hindex of 42, co-authored 75 publications receiving 87969 citations. Previous affiliations of Vincent Vanhoucke include Stanford University.

Papers
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Proceedings ArticleDOI

Going deeper with convolutions

TL;DR: Inception as mentioned in this paper is a deep convolutional neural network architecture that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC14).
Proceedings ArticleDOI

Rethinking the Inception Architecture for Computer Vision

TL;DR: In this article, the authors explore ways to scale up networks in ways that aim at utilizing the added computation as efficiently as possible by suitably factorized convolutions and aggressive regularization.
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Rethinking the Inception Architecture for Computer Vision

TL;DR: This work is exploring ways to scale up networks in ways that aim at utilizing the added computation as efficiently as possible by suitably factorized convolutions and aggressive regularization.
Journal ArticleDOI

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

TL;DR: This article provides an overview of progress and represents the shared views of four research groups that have had recent successes in using DNNs for acoustic modeling in speech recognition.