Deep Learning with PyTorch
Completed by RAUL EMILIAN RUS
September 18, 2025
18 hours (approximately)
RAUL EMILIAN RUS's account is verified. Coursera certifies their successful completion of Deep Learning with PyTorch
What you will learn
Key concepts on Softmax regression and understand its application in multi-class classification problems.
How to develop and train shallow neural networks with various architectures.
Key concepts of deep neural networks, including techniques like dropout, weight initialization, and batch normalization.
How to develop convolutional neural networks, apply layers and activation functions.
Skills you will gain
- Category: Image Analysis
- Category: Model Evaluation
- Category: PyTorch (Machine Learning Library)
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Training
- Category: Applied Machine Learning
