This topic lists relevant topics of Data Science Workshop (DSW) use cases.
Case | Description |
This topic describes how to use WebIDE of DSW to debug the Python code in the sample notebook that is provided by DSW. | |
This topic describes how to use a Recurrent Neural Network (RNN) in DSW to recognize surnames. RNN can predict which language that a person speaks by recognizing how the surname of the person is spelled. | |
This topic describes how to use EasyVision in DSW to detect objects. | |
This topic uses text classification as an example to describe how to use EasyTransfer to train models, evaluate models, use models to make predictions, export model files, and deploy models in DSW. | |
This topic describes how to use EasyASR for speech recognition in DSW. | |
This topic describes how to use EasyASR for speech classification in DSW. | |
This topic describes how to use the pruning, quantization, and structured sparsity algorithms to compress models. |