Thư viện Đại học Duy Tân, Đà Nẵng, Việt Nam

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

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

Bạn phải đăng nhập mới có thể mượn sách

Sách cùng chuyên ngành

Sách cùng chủ đề

ý kiến bạn đọc