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Ann.ipynb

Ann.ipynb

 
 

Bert.py

Bert.py

 
 

Coupling&autoregressiveAttention.ipynb

Coupling&autoregressiveAttention.ipynb

 
 

Decoder.ipynb

Decoder.ipynb

 
 

Dropout,Masking,Feedforward,Adam_optimizer.ipynb

Dropout,Masking,Feedforward,Adam_optimizer.ipynb

 
 

Embedding&Dense.ipynb

Embedding&Dense.ipynb

 
 

Encoder.ipynb

Encoder.ipynb

 
 

Encoder.py

Encoder.py

 
 

Linear,Attention,Softmax.ipynb

Linear,Attention,Softmax.ipynb

 
 

README.md

README.md

 
 

data_file.json

data_file.json

 
 

positionalencoding&layernorm.ipynb

positionalencoding&layernorm.ipynb

 
 

transformer.png

transformer.png

 
 

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Attention is all you need

build transformers from scratch

Built from inspiring https://arxiv.org/pdf/1706.03762.pdf

The Transformer in NLP is a novel architecture that aims to solve sequence-to-sequence tasks while handling long-range dependencies with ease

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building the Transformer (new world of NLP) completely from scratch

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nlp transformer attention-mechanism

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