Interpretability in Deep Learning
Ayush Somani, Alexander Horsch, Dilip K. Prasad
Informasi Umum
Kode
24.21.2032
Klasifikasi
006.31 - Machine Learning
Jenis
Buku - Elektronik (E-Book)
Subjek
Deep Learning
No. Rak
Tel-U Gedung Manterawu Lantai 5 : Rak 4
Tel-U Purwokerto : Rak 3
Dilihat
70 kali
Informasi Lainnya
Abstraksi
This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic.
The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.
Koleksi & Sirkulasi
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Pengarang
| Nama | Ayush Somani, Alexander Horsch, Dilip K. Prasad |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Springer |
| Kota | New York |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
