Completed
Embeddings
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
ML Foundations IV - Advanced Deep Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 Embeddings
- 2 Transformer Architecture
- 3 Encoders and BERT Models
- 4 Generative AI: Decoders and GPT Models
- 5 Prompt Engineering Part 1
- 6 Prompt Engineering Part 2
- 7 LLM Limitations and Hallucinations
- 8 Introduction to Reinforcement Learning
- 9 Deep Reinforcement Learning
- 10 Applications of Reinforcement Learning
- 11 Training Challenges in Deep Learning
- 12 Regularization in Neural Networks
- 13 Understanding RNNs
- 14 RNN Architectures for Different Use Cases
