Advanced PyTorch Techniques and Applications
Completed by Abdul Sami
May 1, 2025
11 hours (approximately)
Abdul Sami 's account is verified. Coursera certifies their successful completion of Advanced PyTorch Techniques and Applications
What you will learn
Create and assess ML models for specific datasets, evaluating performance with proper metrics.
Design autoencoders for dimensionality reduction and build GANs for data simulation, analyzing quality.
Develop Graph Neural Networks for graph data and implement Transformers, including Vision Transformers.
Enhance models with semi-supervised learning using limited data, and deploy them with Flask on Google Cloud.
Skills you will gain
- Category: Supervised Learning
- Category: Machine Learning Methods
- Category: Deep Learning
- Category: Flask (Web Framework)
- Category: Model Optimization
- Category: Generative Model Architectures
- Category: Model Deployment
- Category: Unsupervised Learning
- Category: Network Model
- Category: Vision Transformer (ViT)
- Category: Dimensionality Reduction
- Category: Artificial Neural Networks
