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    PROGRESS DISPLAY OF HANDWRITING INPUT
    3.
    发明申请
    PROGRESS DISPLAY OF HANDWRITING INPUT 审中-公开

    公开(公告)号：US20190235749A1

    公开(公告)日：2019-08-01

    申请号：US16377076

    申请日：2019-04-05

    Applicant: Google LLC

    Inventor： Franz Josef Och ,  Thomas Deselaers ,  Daniel Martin Keysers ,  Henry Allan Rowley

    IPC: G06F3/0488 ,  G06K9/03 ,  G06K9/00

    CPC classification number: G06F3/04883 ,  G06K9/00402 ,  G06K9/00979 ,  G06K9/033

    Abstract: A computer-implemented method includes: receiving, at a user device, user input corresponding to handwritten text to be recognized using a recognition engine; and receiving, at the user device, a representation of the handwritten text. The representation includes the handwritten text parsed into individual handwritten characters. The method further includes: displaying, on a display of the user device, the handwritten characters using a first indicator; receiving, at the user device, an identification of a text character recognized as one of the handwritten characters; displaying, on the display, the text character; and adjusting, at the user device, the one of the handwritten characters from being displayed using the first indicator to using a second indicator in response to the received identification. The first and second indicators are different.

    Enhanced communication assistance with deep learning
    5.
    发明授权
    Enhanced communication assistance with deep learning 有权

    公开(公告)号：US10984310B2

    公开(公告)日：2021-04-20

    申请号：US16699807

    申请日：2019-12-02

    Applicant: Google LLC

    Inventor： Thomas Deselaers ,  Victor Carbune ,  Pedro Gonnet Anders ,  Daniel Martin Keysers

    IPC: G06N3/04

    Abstract: The present disclosure provides systems and methods that leverage machine-learned models (e.g., neural networks) to provide enhanced communication assistance. In particular, the systems and methods of the present disclosure can include or otherwise leverage a machine-learned communication assistance model to detect problematic statements included in a communication and/or provide suggested replacement statements to respectively replace the problematic statements. In one particular example, the communication assistance model can include a long short-term memory recurrent neural network that detects an inappropriate tone or unintended meaning within a user-composed communication and provides one or more suggested replacement statements to replace the problematic statements.

    Predicting Machine-Learned Model Performance from the Parameter Values of the Model
    7.
    发明申请
    Predicting Machine-Learned Model Performance from the Parameter Values of the Model 有权

    公开(公告)号：US20210256422A1

    公开(公告)日：2021-08-19

    申请号：US17177362

    申请日：2021-02-17

    Applicant: Google LLC

    Inventor： Thomas Unterthiner ,  Daniel Martin Keysers ,  Sylvain Gelly ,  Olivier Jean Andre Bousquet ,  Ilya Tolstikhin

    IPC: G06N20/00 ,  G06K9/62

    Abstract: Provided are systems and methods for predicting machine learning model performance from the model parameter values, including for use in making improved decisions with regard to early stopping of training procedures. As one example, the present disclosure discusses the prediction of the accuracy (e.g., relative to a defined task and testing dataset such as a computer vision task) of trained neural networks (e.g., convolutional neural networks (CNNs)), using only the parameter values (e.g., the values of the network's weights) as inputs. As such, one example aspect of the present disclosure is directed to computing systems that include and use a machine-learned performance prediction model that has been trained to predict performance values of machine-learned models based on their parameter values (e.g., weight values and/or hyperparameter values).

    Progress display of handwriting input
    8.
    发明授权
    Progress display of handwriting input 有权

    公开(公告)号：US10656829B2

    公开(公告)日：2020-05-19

    申请号：US16377076

    申请日：2019-04-05

    Applicant: Google LLC

    Inventor： Franz Josef Och ,  Thomas Deselaers ,  Daniel Martin Keysers ,  Henry Allan Rowley

    IPC: G06F3/041 ,  G06F3/0488 ,  G06K9/00 ,  G06K9/03

    Abstract: A computer-implemented method includes: receiving, at a user device, user input corresponding to handwritten text to be recognized using a recognition engine; and receiving, at the user device, a representation of the handwritten text. The representation includes the handwritten text parsed into individual handwritten characters. The method further includes: displaying, on a display of the user device, the handwritten characters using a first indicator; receiving, at the user device, an identification of a text character recognized as one of the handwritten characters; displaying, on the display, the text character; and adjusting, at the user device, the one of the handwritten characters from being displayed using the first indicator to using a second indicator in response to the received identification. The first and second indicators are different.

    Progress display of handwriting input
    9.
    发明授权
    Progress display of handwriting input 有权

    公开(公告)号：US10254952B2

    公开(公告)日：2019-04-09

    申请号：US13626963

    申请日：2012-09-26

    Applicant: Google LLC

    Inventor： Franz Josef Och ,  Thomas Deselaers ,  Daniel Martin Keysers ,  Henry Allan Rowley

    IPC: G06F3/0488 ,  G06K9/00 ,  G06K9/03

    Abstract: A computer-implemented method includes: receiving, at a user device, user input corresponding to handwritten text to be recognized using a recognition engine; and receiving, at the user device, a representation of the handwritten text. The representation includes the handwritten text parsed into individual handwritten characters. The method further includes: displaying, on a display of the user device, the handwritten characters using a first indicator; receiving, at the user device, an identification of a text character recognized as one of the handwritten characters; displaying, on the display, the text character; and adjusting, at the user device, the one of the handwritten characters from being displayed using the first indicator to using a second indicator in response to the received identification. The first and second indicators are different.

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