dl4nlp-tuda/deep-learning-for-nlp-lectures
Deep Learning for Natural Language Processing - Lectures 2023
TeXCC-BY-SA-4.0
Issues
- 3
Lecture 7, Gated Architectures
#49 opened by mihlefeld - 1
Wrong subtitle in Lecture 06 and 07
#48 opened by long21wt - 0
Typo in corpus-wide loss of word2vec
#45 opened by habernal - 1
Is Sigmoid an odd function?
#44 opened by muhammed-shihebi - 1
Missing latex for lectures 9, 10, 11
#42 opened by habernal - 1
- 2
- 0
Fix wrong dimensionality of W
#39 opened by habernal - 2
Improve slide 38 to make decision function clear
#12 opened by habernal - 1
- 0
Wrong notation in lesson 3
#37 opened by SirFalk - 0
- 1
Consider adding GNN/GCN
#7 opened by habernal - 1
Clarify "remembering" in Lecture 02
#11 opened by habernal - 2
- 1
Add full lecture on GPT-3
#24 opened by habernal - 1
Remove slide 46 Lecture 01
#6 opened by habernal - 2
Add proper references in Lecture 01
#2 opened by habernal - 1
Shorten the "history" part in Lecture 01
#5 opened by habernal - 1
Improve NER example in Lecture 01
#8 opened by habernal - 1
Add lecture on evaluation
#22 opened by habernal - 1
lecture 4, slide 39: cosine similarity
#31 opened by kathath - 0
Bug in Markov assumption
#29 opened by habernal - 1
lecture 2: cosine similarity ∈ [-1, 1]
#28 opened by kathath - 4
Wrong values after activation
#27 opened by hehoffmann - 1
Add CC-BY-SA to the slides
#3 opened by habernal - 1
missing negative sign
#26 opened by hehoffmann - 0
Consider lecture (part of) on T5
#25 opened by habernal - 1
Typo in BERT slides
#23 opened by ChristophReich1996 - 1
Add mandatory reading to each lecture
#21 opened by habernal - 0
Fix confusing notation on hidden layers
#19 opened by habernal - 0
Add l2 and l1-norm explanations
#18 opened by habernal - 0
adding an example neural model with concrete numbers to slides of lecture 03 to demonstrate backprop.
#17 opened by MMesgar - 1
Cannot compile lecture 3
#14 opened by habernal - 0
Add compilation instructions
#4 opened by habernal - 1