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آموزش رایگان بوت استرپ 5 (Bootstrap) . جلسه ۲۹
مدرس : علی شیخ
منبع : مکتب خونه
مبحث : موقعیت ( position )
#Bootstrap
#بوت_استرپ
@code_pedia
مدرس : علی شیخ
منبع : مکتب خونه
مبحث : موقعیت ( position )
#Bootstrap
#بوت_استرپ
@code_pedia
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Andre_Ye_Modern_Deep_Learning_Design_and_Application_Development.pdf
12.4 MB
Modern Deep Learning Design and Application Development (2021)
➖➖
📌هشتگ ها را در کانال دنبال کنید
#یادگیری_ماشین
🆔
➖➖
📌هشتگ ها را در کانال دنبال کنید
#یادگیری_ماشین
🆔
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آموزش رایگان بوت استرپ 5 (Bootstrap) . جلسه ۳۰
مدرس : علی شیخ
منبع : مکتب خونه
مبحث : سایه ها و اندازه ها
#Bootstrap
#بوت_استرپ
@code_pedia
مدرس : علی شیخ
منبع : مکتب خونه
مبحث : سایه ها و اندازه ها
#Bootstrap
#بوت_استرپ
@code_pedia
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Ken_Puls_Miguel_Escobar_Master_Your_Data_with_Power_Query_in_Excel.pdf
14.1 MB
Master Your Data with Power Query in Excel and Power BI (2021)
#علم_داده
#علم_داده
codepedia
بنظرتون دوره بعدی کدام باشه🤔🤔
طبق رای شما دوستان از یک دی ماه دوره انیمیشن سازی در کانال قرار میگیره
کانال تلگرام مارو به دوستانتون معرفی کنید
@code_pedia
کانال تلگرام مارو به دوستانتون معرفی کنید
@code_pedia
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Sava_Y_ld_r_m,_Meysam_Asgari_Chenaghlu_Mastering_Transformers_Build.pdf
13.9 MB
Mastering Transformers (2021)
▪️What you will learn
Explore state-of-the-art NLP solutions with the Transformers library
Train a language model in any language with any transformer architecture
Fine-tune a pre-trained language model to perform several downstream tasks
Select the right framework for the training, evaluation, and production of an end-to-end solution
Get hands-on experience in using TensorBoard and Weights & Biases
Visualize the internal representation of transformer models for interpretability
▪️Who this book is for
This book is for deep learning researchers, hands-on NLP practitioners, as well as ML/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book.
#یادگیری_عمیق #NLP
🆔
▪️What you will learn
Explore state-of-the-art NLP solutions with the Transformers library
Train a language model in any language with any transformer architecture
Fine-tune a pre-trained language model to perform several downstream tasks
Select the right framework for the training, evaluation, and production of an end-to-end solution
Get hands-on experience in using TensorBoard and Weights & Biases
Visualize the internal representation of transformer models for interpretability
▪️Who this book is for
This book is for deep learning researchers, hands-on NLP practitioners, as well as ML/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book.
#یادگیری_عمیق #NLP
🆔