Su kodu ENG20 kaina tik 60,23 €
75,29 €
Chaudhury, K: Math and Architectures of Deep Learning
60,23 € 
- Išsiųsime per 10–14 d.d.
The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function.Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you’ll peer inside the “black box” to understand how your code is worki…
60.23
2025-06-29 23:59:00
/https://libri-media.knygos-static.lt/7e01f5b2-749b-49ee-8bfd-60d4b402ece4/14)
- Autorius: Krishnendu Chaudhury
- Leidėjas: Manning
- Metai: 2024
- Puslapiai: 552
- ISBN-10: 1617296481
- ISBN-13: 9781617296482
- Formatas: 18.6 x 23.4 x 3.3 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -20 % nuolaida šiai knygai su kodu ENG20
Chaudhury, K: Math and Architectures of Deep Learning + nemokamas atvežimas! | knygos.lt
Atsiliepimai
Aprašymas
The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function.Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch.
Written by deep learning expert Krishnendu Chaudhury, you’ll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications.
EXTRA 20 % nuolaida
60,23 €
75,29 €
Išsiųsime per 10–14 d.d.
Kupono kodas: ENG20
Akcija baigiasi už 4d.15:31:06
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Krishnendu Chaudhury
- Leidėjas: Manning
- Metai: 2024
- Puslapiai: 552
- ISBN-10: 1617296481
- ISBN-13: 9781617296482
- Formatas: 18.6 x 23.4 x 3.3 cm, minkšti viršeliai
- Kalba: Anglų
The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function.
Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch.
Written by deep learning expert Krishnendu Chaudhury, you’ll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications.
Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch.
Written by deep learning expert Krishnendu Chaudhury, you’ll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications.
Atsiliepimai