ngosangns Knowledge Base

#deep-learning

  • Computer Vision
    Link notes on face-recognition libraries and open-vocabulary object detection.
  • Core Concepts
    Short notes on attention, cross-entropy loss, and native vision transformers.
  • RNN And LSTM
    Explains how recurrent neural networks process sequences, why they suffer from vanishing gradients, and how LSTM gates fix long-term memory.
  • Transfer Learning
    Explains how transfer learning reuses a pre-trained source model through fine-tuning for a new task, and why it works so well with limited data.