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  • Hands-On machine learning with scikit-learn, keras, and tensorFlow : concepts, tools, and techniques to build intelligent systems : 2nd ed
  • Tác giả: Aurélien Géron
  • Nhà xuất bản: O'Reilly Media - Beijing
  • Năm xuất bản: 2019
  • Số trang:819 p.
  • Kích thước:24 cm.
  • Số đăng ký cá biệt:48597
  • ISBN:9781492032649
  • Mã Dewey:005.133
  • Đơn giá:0
  • Vị trí lưu trữ:03 Quang Trung
  • Ngôn ngữ:English
  • Loại tài liệu:Giáo trình
  • Đang rỗi/ Tổng sách:1/1
  • Từ khóa:TensorFlow, machine learning, Python
  • Chủ đề: Python (Computer program language) & Machine learning & TensorFlow
  • Chuyên ngành: Khoa Công Nghệ Thông Tin
  • Tóm tắt: By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Eplore the machine learning landscape, particularly neural nets. Use Scikit-Learn to track an example machine-learning project end-to-end. Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods. Use the TensorFlow library to build and train neural nets. Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning.
  • Sách điện tử:http://thuvienso.duytan.edu.vn/handle/123456789/292745
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