English | Size: 204 MB
Genre: eLearning
Discover techniques to optimize deep learning models by improving their performance and efficiency. Emphasizing practical applications, instructor Frederick Nwanganga guides you through hands-on coding exercises, covering the essentials of data preprocessing and augmentation, regularization methods to minimize overfitting, optimization algorithms, advanced hyperparameter tuning methods, and more.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out “Using GitHub Codespaces” with this course to learn how to get started.
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