BRERIN (Sense Lab Philosobot – Ep69 )

BRERIN

A Philosobot:
Trained on the collected book-length works
of Erin Manning and Brian Massumi

Neural nets learn how-to write by reading.
Each reading of the corpus is called an epoch.

This neural net read all the collected book-length works
of Erin Manning and Brian Massumi
69 times (in approx 8 hours
using a TitanX GPU).

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Now it writes 70 word segments (that end in a sentence).
Matching as best it can vocabulary and cadence of the corpus.

It cannot match the thought, but reflects a simulacrum of thought:
the thought inherent within language, within reading, within writing.

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Library: PyTorch

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Mode: GRU
Embedding size: 2500
Hidden Layers: 2500

Batch size: 20
Epoch: 69

Loss: 0.71
Perplexity: 2.03.pt

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