Buku

Python Deep Learning Cookbook

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The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

005.262 BAK p

Penerbit

BIRMINGHAM : Packt Pubishing Ltd., 2017

Deskripsi Fisik

14 chapter; Illus; 25 cm

Bahasa

English

ISBN/ISSN

978-1-78712-519-3

Klasifikasi

005.262 BAK p

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Python

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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