jialincheoh/coursera-improving-deep-neural-networks

This is one of the modules titled "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" from Coursera Deep Learning Specialization.

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This repository provides structured learning materials and practical projects for anyone looking to enhance their deep learning models. You'll work through exercises that take your initial model designs and improve their performance, learning how to fine-tune various settings and apply different techniques. This is ideal for data scientists, machine learning engineers, or researchers building and refining deep neural networks.

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Use this if you have a deep learning model that isn't performing as well as you'd like and you need to systematically learn how to make it better.

Not ideal if you are looking for an out-of-the-box software tool to automatically optimize your models without understanding the underlying principles.

deep-learning model-optimization neural-networks hyperparameter-tuning machine-learning-engineering
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Aug 29, 2021

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