Created by: Naveen-Zerocool
Ludwig
Ludwig is a TensorFlow-based toolbox that allows to train and test deep learning models without the need to write code.
Why :
No coding required: no coding skills are required to train a model and use it for obtaining predictions. Generality: a new data type-based approach to deep learning model design that makes the tool usable across many different use cases. Flexibility: experienced users have extensive control over model building and training, while newcomers will find it easy to use. Extensibility: easy to add new model architecture and new feature data types. Understandability: deep learning model internals are often considered black boxes, but we provide standard visualizations to understand their performance and compare their predictions. Open Source: Apache License 2.0
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