Neural Networks and Computer Vision Foundations
Completed by Shivani Singh
May 3, 2026
11 hours (approximately)
Shivani Singh's account is verified. Coursera certifies their successful completion of Neural Networks and Computer Vision Foundations
What you will learn
How neural networks work, including forward propagation, loss computation, and backpropagation
How to train, optimize, and regularize neural networks for stable convergence
How convolutional neural networks process images and learn visual features
How to build and evaluate end-to-end image classification and vision systems
Skills you will gain
- Category: Convolutional Neural Networks
- Category: Artificial Intelligence
- Category: PyTorch (Machine Learning Library)
- Category: Applied Machine Learning
- Category: NumPy
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Python Programming
- Category: Transfer Learning
- Category: Data Science
- Category: Machine Learning
