Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Transformers for Machine Learning: A Deep Dive (sách keo gáy bài mềm)
Thể loại:Computers - Artificial Intelligence (AI)
Năm:2022
Nhà xuát bản:CRC Press
Ngôn ngữ:english
Trang:284
Transformers are becoming a core part of many neural network
architectures, employed in a wide range of applications such as NLP,
Speech Recognition, Time Series, and Computer Vision. Transformers have
gone through many adaptations and alterations, resulting in newer
techniques and methods. Transformers for Machine Learning: A Deep Dive
is the first comprehensive book on transformers. Key Features: A
comprehensive reference book for detailed explanations for every
algorithm and techniques related to the transformers. 60+ transformer
architectures covered in a comprehensive manner. A book for
understanding how to apply the transformer techniques in speech, text,
time series, and computer vision. Practical tips and tricks for each
architecture and how to use it in the real world. Hands-on case studies
and code snippets for theory and practical real-world analysis using the
tools and libraries, all ready to run in Google Colab. The theoretical
explanations of the state-of-the-art transformer architectures will
appeal to postgraduate students and researchers (academic and industry)
as it will provide a single entry point with deep discussions of a
quickly moving field. The practical hands-on case studies and code will
appeal to undergraduate students, practitioners, and professionals as it
allows for quick experimentation and lowers the barrier to entry into
the field.
