Week 10: Computer Vision Applications
Core Topics Covered
Comprehensive overview of all topics
Key Learnings
Main takeaways and insights
Practical Skills
Hands-on techniques learned
Real-World Applications
Industry use cases explored
Major Achievements This Week
- Mastered data collection and annotation strategies
- Learned to handle imbalanced datasets effectively
- Understood comprehensive CV model evaluation
- Explored real-world project implementation
- Applied CV techniques to practical problems
Week 11: Natural Language Processing with Deep Learning
NLP Tasks Overview
Classification, NER, sentiment analysis, and more
Text Preprocessing & Embeddings
Tokenization, vocabulary building, and word embeddings
Transformers for NLP
Attention mechanisms and self-attention for language
BERT & GPT Models
Pre-trained language models and fine-tuning