Building and Training Neural Networks with PyTorch
Completed by M AHAMED SAHUL HAMEED
February 26, 2026
7 hours (approximately)
M AHAMED SAHUL HAMEED'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: Convolutional Neural Networks
- Category: Recurrent Neural Networks (RNNs)
- Category: Data Preprocessing
- Category: PyTorch (Machine Learning Library)
- Category: Model Optimization
- Category: Classification Algorithms
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Data Processing
- Category: Image Analysis
- Category: Deep Learning
- Category: Transfer Learning
