Home > Servers > Modular Servers > White Papers > Reference Architecture: Machine Learning Containers on PowerEdge MX and VMware Cloud Foundation 4.0 with Tanzu > USE CASE B: “More like this” and visual search engines
Container Stack: TensorFlow, Keras, Kubeflow Python SDK, Kubeflow pipeline
Vertical: Retail, search engines, recommendation systems
This second example covers the more advanced use case of visual classification. The final retail model should recognize an uploaded photo of a dress and display two attributes: length and color.
Use case B uses a pre-trained general-purpose model and a large data set of women’s dresses to train two neural network models: recognizing color and the other to identify length. The TensorFlow framework and Intel Xeon powered machines help it achieve acceptable accuracy. Serving capability is part of Kubeflow and will be used to deploy this model as an API service. For this example, the web-based UI allows the user to upload a picture of a women’s dress and receive appropriate descriptions in a user-friendly manner.
While this is an example of the implementation there are innumerable ways that this Machine Learning framework can be implemented for unique business or industries. Three models that Grid Dynamics have deployed for real-life customers include: