Building and Training Neural Networks with PyTorch
Completed by Mahammad Humayoo
May 7, 2026
7 hours (approximately)
Mahammad Humayoo's account is verified. Coursera certifies their successful completion of Building and Training Neural Networks with PyTorch
What you will learn
Build and train neural networks using PyTorch for various tasks.
Implement classification models with multi-class, multi-label datasets, and CNNs for image and audio classification.
Apply object detection techniques using the YOLO algorithm.
Explore neural style transfer, transfer learning, and implement RNNs and LSTM networks.
Skills you will gain
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: PyTorch (Machine Learning Library)
- Category: Model Optimization
- Category: Image Analysis
- Category: Model Evaluation
- Category: Computer Vision
- Category: Classification Algorithms
- Category: Artificial Neural Networks
