Deep Learning with PyTorch
Completed by Franky Leonardo Prieto Tellez
November 18, 2025
18 hours (approximately)
Franky Leonardo Prieto Tellez'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: Deep Learning
- Category: PyTorch (Machine Learning Library)
- Category: Artificial Neural Networks
- Category: Supervised Learning
- Category: Convolutional Neural Networks
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Model Evaluation
