Foundations of Model Optimization and Deep Learning
Completed by Kieran Kennedy
April 16, 2026
7 hours (approximately)
Kieran Kennedy'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: Computer Vision
- Category: Model Optimization
- Category: Image Analysis
- Category: Deep Learning
- Category: Model Training
- Category: Artificial Intelligence
- Category: Artificial Neural Networks
- Category: Bayesian Statistics
- Category: PyTorch (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Keras (Neural Network Library)
