Lenovo (beijing) Limited

Beijing Baidu Netcom Science Technology Co., Ltd

Traffic Control Technology Co., Ltd

Chunyu Zhang

Haifeng Wang

Chao Liu

Yanjun Ma

Tian Wu

Xiaoguang Hu

Chunhai Gao

Ziyu Wu

Jiefeng Chen

Feng Bao

Sheng Guo

Qingqing Dang

Kaipeng Deng

Lielin Jiang

Embodiments of the present disclosure provide a method and apparatus of training a model, an electronic device, a storage medium and a development system, which relate to a field of deep learning. The method may include calling a training preparation component to set at least a loss function and an optimization function for training the model, in response to determining that a training preparation instruction is received. The method further includes calling a training component to set a first data reading component, in response to determining that a training instruction is received. The first data reading component is configured to load a training data set for training the model. In addition, the method may further include training the model based on the training data set from the first data reading component, by using the loss function and the optimization function through the training component.

Model development tool to train, evaluate and predict with deep learning by selecting functions

The present disclosure provides a camera module, an information processing method, and an electronic device. The camera module includes a casing and a lens assembly movably connected to the casing. The lens assembly includes a lens group including a plurality of lenses, and the lens group is fixedly arranged in a lens barrel. The camera module further includes a sensor assembly movably connected to the casing. The sensor assembly is located under the lens assembly. The camera module also includes a driving assembly, which drives the lens assembly and/or the sensor assembly to move based on a control signal.

Camera module, information processing method, and electronic device for image stabilization control

Embodiments of the present application provide a method and a device for controlling train formation tracking, the method comprising: obtaining a current distance between a first train and a second train in a train formation, wherein the first train is adjacent to the second train and located behind the second train; determining a target tracking mode of the first train based on the current distance, wherein the target tracking mode is one of a speed tracking mode, a distance tracking mode and a braking mode; and tracking the second train, by the first train based on the target tracking mode. Tracking efficiency is improved according to the method of the embodiments of the present application.

Method and device for controlling train formation tracking

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Beijing, China

Chunyu Zhang