Transformers and Positional Embedding: A Step-by-Step NLP Tutorial for Mastery
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11 ай бұрын🚀 Introduction to Transformers in NLP | PositionalEmbedding Layer 🚀
Discover the powerful world of Transformers in Natural Language Processing (NLP)! In this tutorial, we explore the main components of the Transformer architecture, with a focus on the essential "PositionalEmbedding" layer.
🎯 Learn the Advantages and Limitations of Transformers.
🎓 Implement Positional Encoding and Understand its Significance.
💡 Build a Custom "PositionalEmbedding" Layer in TensorFlow.
💻 Test the Layer with Random Input Sequences.
Unleash the potential of Transformers in NLP and level up your machine learning skills. Subscribe now for more exciting tutorials on building practical Transformer models for real-world NLP tasks! 🌟
Text Version Tutorial: pylessons.com/transformers-in...
#Transformers #NLP #MachineLearning #Tutorial #PositionalEmbedding #TensorFlow
@breakingBro325 7 ай бұрын
Hello Sir, where can I find the jupyter notebook you showed in this video? It is on your Github as well?
@PyLessons 7 ай бұрын
Hello, I think I mentioned that notebook was only for me and I am not going to upload it anywhere. That notebook was only my notes
@breakingBro325 7 ай бұрын
@@PyLessons Sounds good. Thank you for your reply!
@islamtazerout Ай бұрын
P E(pos,2i) = sin(pos/100002i/dmodel ) P E(pos,2i+1) = cos(pos/100002i/dmodel )
@nickols6267 10 ай бұрын
"promo sm" 👏
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