Скачать или смотреть Module 6- Python 2- NLP - IMDB Sentiment Analysis - Bag of Words vs Sequence Models in TensorFlow!

Relevant playlists:
Machine Learning Concepts, simply explained:    • Machine Learning Concepts (shorter videos)  
Deep Learning Concepts, simply explained:    • Deep Learning Codes and Concepts (Simply E...  

Instructor: Pedram Jahangiry

All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own.
https://github.com/PJalgotrader

Lecture Outline:
0:00 Roadmap and recap, where to find the materials
6:10 TextVectorization layer in TensorFlow
17:04 Importing the IMDB dataset and preprocessing the data
25:20 Bag-of-words vs Sequential modeling approach
28:10 Bag-of-Words (unigram tokenization and binary encoding)
38:15 Bag-of-Words (Bigram tokenization and binary encoding)
40:35 Bag-of-Words (Bigram tokenization and TF-IDF encoding)
43:07 Sequence model (one-hot vs word embedding vs word embedding with mask)
55:00 Sequence model (using pre-trained word embedding)