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: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
- Category: Artificial Intelligence
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Bayesian Statistics
- Category: Artificial Neural Networks
- Category: Performance Tuning
- Category: PyTorch (Machine Learning Library)
- Category: Tensorflow
