Forwarded from Deep learning channel (Mohsen Fayyaz)
A new summary of The Evolved #Transformer
The recipe:
1. Take the human-designed Transformer
2. Add a new neural architecture search - PDH
3. Whisk with ~200 TPUs to get a much better model - #ET
https://www.lyrn.ai/2019/03/12/the-evolved-transformer/
The recipe:
1. Take the human-designed Transformer
2. Add a new neural architecture search - PDH
3. Whisk with ~200 TPUs to get a much better model - #ET
https://www.lyrn.ai/2019/03/12/the-evolved-transformer/
Lyrn.AI
The Evolved Transformer – Enhancing Transformer with Neural Architecture Search | Lyrn.AI
Neural architecture search (NAS) is the process of algorithmically searching for new designs of neural networks. Though researchers have developed sophisticated architectures over the years, the ability to find the most efficient ones is limited, and recently…
#آموزش #سورس_کد
داکیومنت جدید سایت تنسرفلو پیرامون ترنسفورمر
Transformer model for language understanding
new tutorial that shows how to write #Transformer (‘attention’ is all you need) in #TensorFlow 2.0 from scratch
https://www.tensorflow.org/alpha/tutorials/sequences/transformer
#tensorflow2
داکیومنت جدید سایت تنسرفلو پیرامون ترنسفورمر
Transformer model for language understanding
new tutorial that shows how to write #Transformer (‘attention’ is all you need) in #TensorFlow 2.0 from scratch
https://www.tensorflow.org/alpha/tutorials/sequences/transformer
#tensorflow2
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این دموی completion آنلاین را با GPT-2 پیاده سازی کردند...
https://transformer.huggingface.co/
مطالب مرتبط:
https://t.me/cvision/1026
https://t.me/cvision/1035
#Transformer #NLP #GPT2
https://transformer.huggingface.co/
مطالب مرتبط:
https://t.me/cvision/1026
https://t.me/cvision/1035
#Transformer #NLP #GPT2
#پیاده_سازی #آموزش
داکیومنت جدیده سایت رسمی کراس
این بار از #BERT و #Transformer ها برای تسک Question-Answering
BERT (from HuggingFace Transformers) for Text Extraction
https://keras.io/examples/nlp/text_extraction_with_bert/
داکیومنت جدیده سایت رسمی کراس
این بار از #BERT و #Transformer ها برای تسک Question-Answering
BERT (from HuggingFace Transformers) for Text Extraction
https://keras.io/examples/nlp/text_extraction_with_bert/
keras.io
Keras documentation: Text Extraction with BERT