Technology and operation · Question 18 of 60
What are ML development frameworks used for?
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Answer
- A As a toolkit for building and training ML models
Explanation
Frameworks such as TensorFlow or PyTorch take the groundwork of model building off developers' hands. They help with loading and reshaping data, building and training the model, optimizing and evaluating it, and sometimes with shipping it. Labeling data, by contrast, requires other tools or manual work.