Introduction to Neural Networks
Completed by Charvi Singh
February 3, 2026
18 hours (approximately)
Charvi Singh'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: Machine Learning Algorithms
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Model Training
- Category: Image Analysis
- Category: Model Optimization
- Category: Model Evaluation
- Category: Algorithms
- Category: Computer Vision
