- Artificial Neural Networks
- PyTorch (Machine Learning Library)
- Deep Learning
- Supervised Learning
- Computer Vision
- Machine Learning
- Network Architecture
Deep Learning with PyTorch
Completed by Pauline Huet
March 20, 2025
20 hours (approximately)
Pauline Huet'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
