Informasi Umum

Kode

24.21.561

Klasifikasi

006.31 - Machine Learning

Jenis

Buku - Elektronik (E-Book)

Subjek

Machine Learning, Deep Learning,

No. Rak

4

Dilihat

14 kali

Informasi Lainnya

Abstraksi

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human-computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.

Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

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Pengarang

Nama Ian Goodfellow , Yoshua Bengio
Jenis Perorangan
Penyunting
Penerjemah

Penerbit

Nama The MIT Press
Kota New Delhi
Tahun 2017

Sirkulasi

Harga sewa IDR 0,00
Denda harian IDR 0,00
Jenis Non-Sirkulasi

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