Introduction to Neural Networks
Completed by Gopinath V
February 28, 2026
18 hours (approximately)
Gopinath V'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: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Image Analysis
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Algorithms
- Category: Model Optimization
- Category: Computer Vision
