Lecture 1 | Natural Language Processing with Deep Learning
1:18:17
Lecture 2 | Word Vector Representations: word2vec
1:09:58
MIT Introduction to Deep Learning | 6.S191
1:16:35
Lecture 12: End-to-End Models for Speech Processing
1:16:43
Lecture 4: Word Window Classification and Neural Networks
1:44:31
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
1:18:40
Lecture 3 | GloVe: Global Vectors for Word Representation
1:20:00
Lecture 11: Gated Recurrent Units and Further Topics in NMT
55:41