From the course: Deep Learning: Model Optimization and Tuning

Optimizing neural networks

From the course: Deep Learning: Model Optimization and Tuning

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Optimizing neural networks

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- [Kumaran] Deep learning has revolutionized how humans interact with machines today. However, building deep learning models is not easy. Data scientists spend weeks trying to tune their models to get desired accuracy and cost effectiveness. Knowledge of the parameters available for tuning, the tuning process and best practices are essential for building effective models in agile timeframes. My name is Kumaran Ponnambalam. In this course, I will start off by exploring the process of model optimization. Then, I will discuss various hyperparameters available and how to tune them. An end-to-end exercise project will help students to fine tune a model by applying the learnings in the course. Let's now start building optimized, deep learning models.

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