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Sonnet: Guide to Create Simple Neural Networks
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![PDF] Driving Sonnet through a Python-based interface | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/4aa71f3a985f8307e61f4519074f38da9c1a8abf/5-Figure1-1.png "PDF] Driving Sonnet through a Python-based interface | Semantic Scholar")
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![PDF] Driving Sonnet through a Python-based interface | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/4aa71f3a985f8307e61f4519074f38da9c1a8abf/5-Figure3-1.png "PDF] Driving Sonnet through a Python-based interface | Semantic Scholar")
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SystemError: Sonnet requires tensorflow_probability (minimum version 0.4.0) to be installed. If using pip, run `pip install tensorflow-probability` or `pip install tensorflow-probability-gpu` · Issue #91 · google-research/football · GitHub
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GitHub - QuIIL/Sonnet: SONNET: A self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images
What is special in DeepMind's Sonnet library for constructing neural nets?
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