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Practical Deep Learning: A Python - Based Introduction

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If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further.

All you need is basic familiarity with computer programming and high school math—the book will cover the rest. After an introduction to Python, you’ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models’ performance.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.3 RON p

Penerbit

San Francisco : Willm Pollock., 2021

Deskripsi Fisik

xxv + 426 hlm.; 23,5 cm

Bahasa

Indonesia

ISBN/ISSN

9781718500747

Klasifikasi

006.3

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Pendidikan

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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