Deep Learning with PyTorch
Completed by Walaa Abdelraouf
September 18, 2025
18 hours (approximately)
Walaa Abdelraouf's account is verified. Coursera certifies their successful completion of Deep Learning with PyTorch
What you will learn
Get hands-on experience using PyTorch to build and deploy AI systems and complete a portfolio-worthy project.
Develop and train shallow neural networks with various architectures and apply Softmax regression in multi-class classification problems.
Explore deep neural networks, including techniques such as dropout, weight initialization, and batch normalization.
Gain practical experience with convolutional neural networks, exploring layers, activation functions, and more.
Skills you will gain
- Category: Applied Machine Learning
- Category: Model Deployment
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Evaluation
- Category: Logistic Regression
- Category: Data Preprocessing
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Image Analysis
- Category: Classification Algorithms
- Category: Transfer Learning
