Deep Learning with Transformers (Hugging Face)
Understand state‑of‑the‑art Deep Learning & transformers; fine‑tune, evaluate, and deploy models using Hugging Face libraries and Hub.
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Audience: Developers / Data Scientists / Team Leads / PMs
Duration: 2 days
Format: Lectures and hands‑on labs (50% lecture, 50% lab)
Overview
Deep Learning delivers near‑miraculous results; this course focuses on leveraging existing transformers and models via Hugging Face rather than reinventing them. Students will gain practical skills in transfer learning, fine‑tuning, and deploying transformer‑based solutions for NLP, vision, and more.
Objective
Understand state‑of‑the‑art Deep Learning & transformers; fine‑tune, evaluate, and deploy models using Hugging Face libraries and Hub.
What You Will Learn
- Classifying sentences & tokens (sentiment, spam, NER)
- Generating & completing text
- Extractive QA, translation, summarisation
- Image & audio tasks
- Transformers architecture: encoders, decoders, seq‑to‑seq
- Fine‑tuning with Trainer API or Keras
- Sharing models & tokenisers on Hugging Face Hub
Course Details
Audience: Developers / Data Scientists / Team Leads / PMs
Duration: 2 days
Format: Lectures and hands‑on labs (50% lecture, 50% lab)
General familiarity with machine learning
Setup: Zero‑install cloud lab • Modern laptop • Chrome browser
Detailed Outline
- DL use‑cases, AI/ML/DL definitions, data & AI vocabulary
- Hardware & software ecosystem, types of ML
- CNN intro, architecture & concepts
- Lab: image recognition with CNNs
- RNN & LSTM intro, architecture & concepts
- Lab: RNNs for text & sequence prediction
- Transformers, encoders, decoders
- Sequence‑to‑sequence, bias & limitations
- Pipelines, models, tokenisers
- Putting it all together
- Data processing
- Trainer API & Keras workflows
- End‑to‑end fine‑tuning
- Hugging Face Hub
- Using & sharing pre‑trained models
- Token classification, masked LM, translation, summarisation, causal LM
- Question answering
Ready to Get Started?
Contact us to learn more about this course and schedule your training.