Foundations of Model Optimization and Deep Learning
Completed by Jesus Jimenez Alonso
April 30, 2026
7 hours (approximately)
Jesus Jimenez Alonso'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: PyTorch (Machine Learning Library)
- Category: Tensorflow
- Category: Dimensionality Reduction
- Category: Artificial Neural Networks
- Category: Bayesian Statistics
- Category: Machine Learning Methods
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Performance Tuning
- Category: Deep Learning
- Category: Image Analysis
