4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace - Uedu Open

Cross-university platform portal

UeduGPTs

--

Jupyters

2

Local AI

--

Uedu Code

--

CISOSE26 Local AI Uedu Code UG26

AI Reply Desktop Notifications

Show a desktop notification when the AI TA finishes replying

Chat Message Notifications

Notify me when classmates post messages in the forum

Sound notification

Play an alert sound whenever there is a new notification

More settings

Account settings Data privacy settings Research Informed Consent Form

4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace

15.773 - Hands-on Deep Learning

Transcript

English Chinese

Other videos (11)

1 1: Introduction to Neural Networks and Deep Learning; Training Deep NNs 2 2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data 3 3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch 4 4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace 5 5: Deep Learning for Natural Language – The Basics 6 6: Deep Learning for Natural Language – Embeddings 7 7: Deep Learning for Natural Language – Transformers 8 8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning 9 9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) 10 10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning 11 11: Generative AI – Text-to-Image Models

AI Learning assistant

Hands-on Deep Learning

Course videos (11)

1 1: Introduction to Neural Networks and Deep Learning; Training Deep NNs 2 2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data 3 3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch 4 4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace 5 5: Deep Learning for Natural Language – The Basics 6 6: Deep Learning for Natural Language – Embeddings 7 7: Deep Learning for Natural Language – Transformers 8 8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning 9 9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) 10 10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning 11 11: Generative AI – Text-to-Image Models