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- Christian Szegedy, Wei Liu, +6 authors Andrew Rabinovich
- IEEE Conference on Computer Vision and Pattern…
- 2014
We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition… (More)
- Martín Abadi, Ashish Agarwal, +37 authors Xiaoqiang Zheng
- ArXiv
- 2015
TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no… (More)
- Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
- IEEE Conference on Computer Vision and Pattern…
- 2015
Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream,… (More)
- Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke
- AAAI
- 2016
Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve… (More)
- Geoffrey E. Hinton, Li Deng, +8 authors Brian Kingsbury
- 2012
Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models to determine how well each state of each HMM fits a… (More)
- Geoffrey E. Hinton, Li Deng, +8 authors Brian Kingsbury
- IEEE Signal Process. Mag.
- 2012
Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well each state of each HMM… (More)
Recent advances in deep learning have made the use of large, deep neural networks with tens of millions of parameters suitable for a number of applications that require real-time processing. The… (More)
- Matthew D. Zeiler, Marc'Aurelio Ranzato, +8 authors Geoffrey E. Hinton
- IEEE International Conference on Acoustics…
- 2013
Deep neural networks have recently become the gold standard for acoustic modeling in speech recognition systems. The key computational unit of a deep network is a linear projection followed by a… (More)
- Navdeep Jaitly, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke
- INTERSPEECH
- 2012
The use of Deep Belief Networks (DBN) to pretrain Neural Networks has recently led to a resurgence in the use of Artificial Neural Network Hidden Markov Model (ANN/HMM) hybrid systems for Automatic… (More)
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
- Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke
- IEEE Conference on Computer Vision and Pattern…
- 2017
We introduce a new large-scale data set of video URLs with densely-sampled object bounding box annotations called YouTube-BoundingBoxes (YT-BB). The data set consists of approximately 380,000 video… (More)