Deep Learning Essentials
Completed by Matthaeus Ceglarek
February 16, 2026
15 hours (approximately)
Matthaeus Ceglarek's account is verified. Coursera certifies their successful completion of Deep Learning Essentials
What you will learn
Understand the history and context of the deep learning field, and explore what "intelligence" really means.
Explore deep learning models like the perceptron, neural networks and backpropagation, and study the techniques that drive them.
Code a project using Python where you will preprocess data and use your data to train a Support Vector Machine (SVM.)
Skills you will gain
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Artificial Neural Networks
- Category: Artificial Intelligence
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Model Training
- Category: PyTorch (Machine Learning Library)
- Category: Model Optimization
