Deep Learning Learning Path

Objectives

• Provide actionable learning plans (weekly / chapter-wise).
• Provide a practical learning path (from simple to complex).

Recommended Resources

• Books: Deep Learning (Goodfellow), Dive into Deep Learning
• Courses: CS231n, CS224n, DeepLearning.AI
• Tools: PyTorch, Lightning, Weights & Biases

Practical Project Recommendations

• Image classification: CIFAR10 → ImageNet subset
• NLP: text classification → fine-tuning small models
• Training and evaluation: record hyperparameters, control experiments, reproducibility