Deep Learning Service

Deep Learning Service (DLS) is powered on the high-performance computing capabilities of HUAWEI CLOUD. With various built-in neural network models, DLS allows you to easily implement model training, evaluation, and inference all with the flexibility of on-demand scheduling.

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  • Keywords: deep learning, TensorFlow, neural network, GPU
Product Advantages
  • Rich Selection

    Dozens of CNN and RNN models and various pre-trained models based on open source data sets speed up model training.

  • Convenience

    DLS seamlessly interconnects with OBS and GPU HPC on HUAWEI CLOUD, and provides the MoXing library for distributed deep learning training.

  • High Efficiency

    Hybrid parallel computing, gradient compression, convolutional acceleration, and EASGD speed up model training and significantly reduce your adaption costs.

  • Ease of Use

    Complete UI-based model debugging, training, and inference enable you to get more out of your data!

Application Scenarios
  • Image Recognition

  • Video Analysis

  • Speech Recognition

  • Machine Translation

Image Recognition

Image Recognition

Identifies objects in images, such as animals, brand logos, and vehicle types.

Advantages

Various Models

Offers various image classification and image semantic segmentation models.

Convenience

Pre-trained models based on open source data sets enable you to accelerate learning in your profile.

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Video Analysis

Video Analysis

Analyzes key video-embedded information from a variety of dimensions, such as facial recognition and vehicle feature identification.

Advantages

Extensive Models

Offers extensive video detection and semantic analysis models.

Convenience

Pre-trained models based on open source data sets enable you to accelerate learning in your profile.

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Speech Recognition

Speech Recognition

Enables machines to understand speech signals and assist in speech processing. This sub-service is highly applicable to use cases involving intelligent customer service robots and smart assistants.

Advantages

Abundant Models

Offers abundant natural language processing models.

Convenience

Pre-trained models based on open source data sets enable you to accelerate learning in your profile.

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Machine Translation

Machine Translation

Translates texts captured using smartphone cameras, adding a new level of convenience to on-the-spot translation.

Advantages

Multiple Models

Offers multiple models related to OCR and NLP.

Convenience

Pre-trained models based on open source data sets enable you to accelerate learning in your profile.

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Functions

  • Pay per Use

    You are only charged for the actual time you use the service.

  • One-Stop Platform

    DLS offers one-stop deep learning model debugging, training, and inference.

Pay per Use

  • Ensures container start-up in seconds and avails users of agility in on-demand resource allocation.

  • Calculates charges on the run time of debugging, training, and inference jobs.

  • Delivers anytime convenience with the cost-effectiveness of precise metering.

One-Stop Platform

  • Supports Jupyter Notebook for interactive model debugging.

  • Allows you to release your own inference service after implementing your specific learning profile.

  • Supports configurable model training.

  • Effective MoXing Library

    Huawei-developed MoXing APIs are more effective than native APIs.

  • Compatible with Open Source

    DLS optimized open source deep learning libraries on an architecture compatible with open source APIs.

Effective MoXing Library

  • Offers abundant models.

  • Allows you to use the same set of code to conduct both single-node and distributed training.

  • Offers various training and inference accelerators.

Compatible with Open Source

  • Compatible with the TensorFlow and MXNet deep learning libraries.

  • Offers dozens of popular CNN and RNN models and pre-trained models.

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