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[PR #1243] [CLOSED] Added ludwig to Deep Learning #1110
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1243
Author: @Naveen-Zerocool
Created: 2/25/2019
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
8a35e27Update README.md📊 Changes
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README.md(+1 -0)📄 Description
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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