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   系統號碼806541
   書刊名Deep learning for coders with fastai and PyTorch : AI applications without a PhD /
   主要著者Howard, Jeremy (Scientist), author.
   其他著者Gugger, Sylvain,;Chintala, Soumith
   出版項Sebastopol, California : O'Reilly Media, Inc., 2020.
   索書號QA76.9.D343.H69 2020
   ISBN9781492045526(paperback)
   標題Data mining.
Natural language processing (Computer science)
Machine learning.
Python (Computer program language)
Artificial intelligence.-fast-(OCoLC)fst00817247
Machine learning.-fast-(OCoLC)fst01004795
   
    
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 資料類型狀態應還日期預約人數館藏地索書號條碼號
教學專用借出中2024/09/090總館
西文圖書區
QA76.9.D343 .H69 2020W113264

內容簡介Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks-including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions.

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