Modern NLP: Walkthrough of Assignment 1-Session 4, part 4

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
Subscribers:
22,600
Published on ● Video Link: https://www.youtube.com/watch?v=fqF1wenyCf4


Duration: 0:00
98 views
2

Quora deduplication task
Libraries used
Data pre-processing
Mispellings
Padding, truncating
Embeddings
Batching sets
LSTM model
Train loop



Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE


2022-03-28Reinforcement Learning: Deep Q-Learning Q&A - Session 9
2022-03-28Reinforcement Learning: Deep Q-Learning - Session 8
2022-03-28Reinforcement Learning: Q-Learning - Session 7
2022-03-28Reinforcement Learning: Temporal Difference - Session 6
2022-03-28Reinforcement Learning - Session 5
2022-03-28Reinforcement Learning: Fundamentals II - Session 4
2022-03-28Reinforcement Learning: Code Walkthrough - Session 3
2022-03-28Reinforcement Learning: Q&A, Closing - Session 16
2022-03-28Reinforcement Learning: Fundamentals - Session 2
2022-03-28Reinforcement Learning: Introduction - Session 1
2022-03-28Modern NLP: Walkthrough of Assignment 1-Session 4, part 4
2022-03-28Mathematics of Deep Learning: Gradient descent contd - Training - Session 12
2022-03-28Mathematics of Deep Learning: Gradient descent - Session 11
2022-03-28Mathematics of Deep Learning: Dropout- Session 10
2022-03-28Mathematics of Deep Learning: Convnets- Session 9
2022-03-28Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 8
2022-03-28Mathematics of Deep Learning: 2D convolutions, pooling, dilated convolutions - Session 7
2022-03-28Mathematics of Deep Learning: Convolutions- Session 6
2022-03-28Mathematics of Deep Learning: Linear Algebra IV: loss functions - Session 5
2022-03-28Mathematics of Deep Learning: Linear Algebra III: non-linearities - Session 4
2022-03-28Mathematics of Deep Learning: Linear Algebra I: tensors, matrices, dot product - Session 2