Foundations of Model Optimization and Deep Learning
Completed by Aaron Grace
March 13, 2026
7 hours (approximately)
Aaron Grace's account is verified. Coursera certifies their successful completion of Foundations of Model Optimization and Deep Learning
What you will learn
Learn how to apply hyperparameter tuning and optimization techniques to enhance machine learning models.
Gain hands-on experience with Convolutional Neural Networks (CNNs) for image classification.
Understand regularization methods and data augmentation techniques to improve model performance.
Build and optimize deep learning models using Keras, TensorFlow, and PyTorch.
Skills you will gain
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Artificial Intelligence
- Category: Model Optimization
- Category: Keras (Neural Network Library)
- Category: PyTorch (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Artificial Neural Networks
- Category: Bayesian Statistics
