Deep Learning with PyTorch
Completed by Elia Nello Poncia
July 21, 2026
20 hours (approximately)
Elia Nello Poncia'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: Logistic Regression
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Training
- Category: Transfer Learning
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Model Evaluation
