Introduction to Neural Networks
Completed by Ernesto Álvarez González
October 5, 2025
18 hours (approximately)
Ernesto Álvarez González's account is verified. Coursera certifies their successful completion of Introduction to Neural Networks
What you will learn
Understand the foundational mathematics and key concepts driving neural networks and machine learning.
Analyze and apply machine learning algorithms, optimization methods, and loss functions to train and evaluate models effectively.
Explore the design and structure of feedforward neural networks, using gradient descent to optimize and train deep models.
Investigate convolutional neural networks, their elements, and how they apply to real-world problems like image processing and computer vision.
Skills you will gain
- Category: Convolutional Neural Networks
- Category: Machine Learning Methods
- Category: Model Training
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning Algorithms
- Category: Algorithms
- Category: Image Analysis
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Computer Vision
