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1:17:13
3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
Wed, 07 Jan 2026 15:01:49 GMT
MIT OpenCourseWare
1:17:43
10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning
Wed, 07 Jan 2026 15:01:47 GMT
MIT OpenCourseWare
1:16:47
8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning
Wed, 07 Jan 2026 15:01:45 GMT
MIT OpenCourseWare
1:14:30
9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
Wed, 07 Jan 2026 15:01:44 GMT
MIT OpenCourseWare
1:17:04
5: Deep Learning for Natural Language – The Basics
Wed, 07 Jan 2026 15:01:42 GMT
MIT OpenCourseWare
1:18:22
2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data
Wed, 07 Jan 2026 15:01:40 GMT
MIT OpenCourseWare
1:16:22
4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace
Wed, 07 Jan 2026 15:01:38 GMT
MIT OpenCourseWare
1:17:51
6: Deep Learning for Natural Language – Embeddings
Wed, 07 Jan 2026 15:01:36 GMT
MIT OpenCourseWare
1:16:38
7: Deep Learning for Natural Language – Transformers
Wed, 07 Jan 2026 15:01:34 GMT
MIT OpenCourseWare
1:15:38
11: Generative AI – Text-to-Image Models
Wed, 07 Jan 2026 15:01:32 GMT
MIT OpenCourseWare