MLDL 107 – Transfer Learning and Fine-Tuning

(Weeks 13–15 | Lecture 9 Hrs / Lab 27 Hrs / Ext 0 Hrs | 36 Total Contact Hrs | 1.2 Semester
Credits)
Students will:

• Adapt pre-trained models like MobileNet, ResNet, and BERT to new domains.
• Fine-tune deep models for specific datasets without overfitting.
• Customize transformer models for specialized NLP tasks.
  Prerequisite: MLDL 106 – Sequence Models (RNN, LSTM, GRU)
  Tools: TensorFlow Hub, Hugging Face Transformers