Deep Learning with PyTorch

• Level: Intermediate
• Duration: 8 weeks
• Category: Artificial Intelligence

Build and train neural networks in PyTorch, from how backpropagation works to image models, transfer learning and the transformer ideas behind LLMs.

What you will learn

• Explain how neural networks learn
• Write training loops in PyTorch
• Train image classifiers with CNNs and transfer learning
• Understand attention and transformers
• Track experiments and improve model accuracy

Topics covered

• Neural networks
• PyTorch
• Backpropagation
• Training loops
• CNNs
• Transfer learning
• Sequence models
• Attention
• Transformers
• GPU training
• Experiment tracking
• Capstone project