Neural Networks and Computer Vision Foundations
Completed by Manish Salian
April 20, 2026
11 hours (approximately)
Manish Salian'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: Model Training
- Category: Python Programming
- Category: Recurrent Neural Networks (RNNs)
- Category: Transfer Learning
- Category: Artificial Neural Networks
- Category: NumPy
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Computer Vision
- Category: Artificial Intelligence
- Category: PyTorch (Machine Learning Library)
- Category: Model Optimization
