Mastering ML:Hyperparameter Optimization & Feature Selection
git.ir
Mastering ML:Hyperparameter Optimization & Feature Selection
This course covers fundamentals of machine learning through practical application with libraries such as scikit-learn, scikit-optimize, Keras, Optuna, and TensorFlow. You'll discover how to effectively construct, adjust, and optimize models, ranging from simple models to sophisticated neural nets. Regardless of experience level, this course ...
177 viewsApr 28, 2024
Hyperparameter optimization Hyperparameter Tuning Tools
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
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