In depth Math intuition of Word2Vec Weight Updates , Objective and Loss Function
Автор: Sahi PadhAI
Загружено: 2023-08-22
Просмотров: 78
00:00 - Introduction and Recap
00:42 - Different layers and their matrices with their dimension
02:15 - Logits and interview question in word2vec
02:59 - Logits to probabilities and output layer
04:53 - Interview question on Softmax in CBOW Word2vec
06:10 - Importance of learning math for ML models
07:27 - Training Objective of CBOW model in Word2Vec
09:02 - Loss Function
In this video of Sahi padhai NLP series, we will learn more about Word2Vec Embedding Technique. What it is and what are the different types matrices of W2Vec model and the loss function of the model. We will also look at very important interview questions asked about logits
We will go into details of CBOW model, also known as continuous bag of words model and get an intuition on how the model works.
We will also look at the architecture of CBOW model.
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