Introduction to Neural Networks
Completed by Julia Yi
March 30, 2025
18 hours (approximately)
Julia Yi'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: Model Evaluation
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Machine Learning
- Category: Image Analysis
- Category: Deep Learning
- Category: Algorithms
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Computer Vision
