Foundations of Model Optimization and Deep Learning
Completed by Rahman Shanawas
May 10, 2026
7 hours (approximately)
Rahman Shanawas'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: Applied Machine Learning
- Category: Keras (Neural Network Library)
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Artificial Intelligence
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Artificial Neural Networks
- Category: Bayesian Statistics
- Category: PyTorch (Machine Learning Library)
- Category: Tensorflow
- Category: Dimensionality Reduction
