How do you ensure your neural network models are ready to deploy?
Neural networks are powerful tools for solving complex problems with artificial intelligence (AI). However, building and training a neural network model is not enough to ensure its success in the real world. You also need to test, validate, and optimize your model before deploying it to production. In this article, you will learn how to do that with some practical tips and best practices.
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Diego DottaCo-founder @ Youper | Innovation for Mental Health | Advisor | Passionate Environmental Advocate | Cycling Enthusiast
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William T CooperGenAI Sales Strategist - $1 Billion in Sales
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Mohamed SalamaData Scientist | NLP & Speech Language Processing Specialist | Helping organizations thrive through data-driven…