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Evaluating models without test data
Practical AI
Navigating Hyperparameters and Open-Source in Deep Learning
This chapter explores the intricacies of hyperparameter tuning in deep learning models, highlighting various optimization methods and their importance for beginners. It also discusses the role of open-source communities in enhancing machine learning tools, addressing challenges in collaboration and project management.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode