Description for Art and Science of ML en Espanol
Regularization for Model Generalization: Discover the utilization of regularization techniques to prevent overfitting and generalize machine learning models.
Hyperparameter Tuning: Investigate the influence of hyperparameters such as batch size and learning rate on the performance of machine learning models.
Model Optimization: Comprehend and implement model optimization algorithms to enhance the efficacy of machine learning models.
TensorFlow Application: Acquire the ability to directly apply optimization concepts to TensorFlow code in order to improve the performance and training of models.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud
Duration: 3 weeks at 6 hours a week
Schedule: Flexible
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