king2b3 / king2b3/ga_learn

Tensorflow speed of individual train/test

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Dominant language
Python
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Description

Instead of having individuals with their own models, look into possible speed up with individuals instead only containing parameters of the model.
Most of the time associated with the training is in the set-up of the network, not the training or testing. It is possible that there is some extra load time associated with TF that we can avoid.

Contributor guide

Open the contributing guide

Research direction

No files, tests, or entry points are named. Start by locating the TensorFlow network setup and the individual training/testing flow, then measure setup time against training and testing time; done means a supported design for avoiding repeated setup and evidence of its speed impact.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
machine-learning, performance
Issue type
Refactor
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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