Introduction to Neural Networks
Completed by ILLAYARAJA DEVARAJ
September 25, 2025
18 hours (approximately)
ILLAYARAJA DEVARAJ'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 Optimization
- Category: Computer Vision
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Model Evaluation
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Algorithms
- Category: Image Analysis
