ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20200026977A1

    公开(公告)日:2020-01-23

    申请号:US16516387

    申请日:2019-07-19

    Abstract: A method for controlling an electronic apparatus includes storing a plurality of artificial intelligence models in a first memory, based on receiving a control signal for loading a first artificial intelligence model among the plurality of stored artificial intelligence models into a second memory, identifying an available memory size of the second memory, and based on a size of the first artificial intelligence model being larger than the available memory size of the second memory, obtaining a first compression artificial intelligence model by compressing the first artificial intelligence model based om the available memory size of the second memory, and loading the first compression artificial intelligence model into the second memory.

    ELECTRONIC APPARATUS AND METHOD OF CONTROLLING THEREOF

    公开(公告)号:US20210125028A1

    公开(公告)日:2021-04-29

    申请号:US17053005

    申请日:2019-05-30

    Abstract: A method of controlling an electronic apparatus for generating an artificial intelligence model is disclosed. The method includes based on a user command for using a plurality of artificial intelligence models being input, generating the plurality of artificial intelligence models, and inputting input data to the generated artificial intelligence model to obtain output data with respect to the input data, wherein the generating includes, based on a reference value for obtaining a layer parameter with respect to layers at corresponding locations among a plurality of layers included in each of the plurality of artificial intelligence model, generating layers at corresponding locations among layers included in each of the plurality of artificial intelligence models.

    ELECTRONIC DEVICE AND METHOD FOR CONTROLLING THE ELECTRONIC DEVICE

    公开(公告)号:US20210124909A1

    公开(公告)日:2021-04-29

    申请号:US17035986

    申请日:2020-09-29

    Abstract: The electronic device includes a camera, a non-volatile memory storing at least one instruction and a plurality of object recognition models, a volatile memory, and a processor, connected to the non-volatile memory, the volatile memory, and the camera, and configured to control the electronic device. The processor, by executing the at least one instruction, is configured to, based on an operation mode of the electronic device, load, to the volatile memory, a hierarchical object recognition model having a hierarchical structure corresponding to the operation mode, the hierarchical object recognition model including objection recognition models among the plurality of object recognition models, obtain information on an object by inputting an object image obtained through the camera to the hierarchical object recognition model, and determine an operation of the electronic device based on the information on the object.

    ELECTRONIC DEVICE AND METHOD FOR CONTROLLING SAME

    公开(公告)号:US20220129645A1

    公开(公告)日:2022-04-28

    申请号:US17435554

    申请日:2021-01-07

    Abstract: An electronic device is provided. The electronic device includes an inputter configured to obtain an input sentence in a first language, a memory, and a processor, and the processor is configured to obtain a feature vector corresponding to the input sentence by inputting the input sentence to an encoder model, obtain a first latent vector by inputting the feature vector and a specific integer to an intermediate network, obtain information on a first output sentence in a second language different from the first language by inputting the first latent vector to a decoder model, obtain a second latent vector by inputting the feature vector and the information on the first output sentence to the intermediate network, and obtain information on a second output sentence in the second language by inputting the second latent vector to the decoder model.

    ELECTRONIC DEVICE AND CONTROL METHOD THEREFOR

    公开(公告)号:US20210383190A1

    公开(公告)日:2021-12-09

    申请号:US17286982

    申请日:2019-11-25

    Abstract: An electronic device and a control method therefor are provided. The electronic device may comprise: a memory for storing at least one instruction; and a processor connected to the memory so as to control the electronic device, wherein the processor: by executing the at least one instruction, appends a second layer including a learnable function to a first layer in an artificial neural network including a plurality of layers; updates a parameter value included in the second layer by learning of the artificial neural network; acquires a function value by inputting the updated parameter value to the learnable function; and eliminates at least one channel among a plurality of channels included in the first layer on the basis of the acquired function value so as to achieve update to a third layer.

    ELECTRONIC APPARATUS AND METHOD OF CONTROLLING THEREOF

    公开(公告)号:US20210142171A1

    公开(公告)日:2021-05-13

    申请号:US17086895

    申请日:2020-11-02

    Abstract: An electronic apparatus is provided. The apparatus includes a communicator, a memory configured to store a neural network model, an activation function generating module that generates activation function information used in the neural network model, first activation function information, second activation function information, and third activation function information generated based on the first activation function information and the second activation function information, and a processor configured to receive fourth activation function information from an external device through the communicator, based on type information on the fourth activation function information corresponding to the second activation function information, input the first activation function information and the fourth activation function information to the activation function generating module to generate fifth activation function information, and control the neural network model to change the activation function information used in the neural network model from the third activation function information to the fifth activation function information.

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