Efficient Processing of Deep Neural Networks
Hardware-focused book on running deep neural networks efficiently
Ranked 6 of 10 in best reinforcement learning and edge ML books
A structured guide to hardware and algorithm choices for efficient deep neural network processing, from a 2020 Springer book. It is paid, has no free text, and covers no reinforcement learning.
Best for Hardware for efficient deep neural networks
About Efficient Processing of Deep Neural Networks
The book has 11 chapters, grouped into an introduction to deep neural networks, the design of hardware for processing them, and the co-design of hardware and algorithms. It is aimed at engineers who build accelerators and at researchers who need to understand the energy and speed costs of models.
The publisher page lists the book as a paid eBook in PDF and as a softcover, and it does not offer open access. The authors are from MIT and NVIDIA Research. The book is more hardware-oriented than the reinforcement learning texts in this list, so it fits readers who run models on constrained chips rather than train them.
Key features
- Deep neural network accelerators
- Algorithm and hardware co-design
- 11 chapters
- Energy and speed trade-offs
Strengths
- Covers hardware and algorithm trade-offs together
- Structured in 11 chapters
- Written by hardware and efficient computing researchers
Limits
- Paid, with no free full text on the publisher page
- Not about reinforcement learning
Where Efficient Processing of Deep Neural Networks ranks
How Efficient Processing of Deep Neural Networks compares
| Product | Score | Price | Formats | Level | Free to read online | Latest edition | Math required |
|---|---|---|---|---|---|---|---|
#4 Bandit Algorithms | 88.0 | Free | PDF, Print | Advanced | Yes | 2020, Cambridge University Press | Heavy: probability and proofs |
#5 Fringe Learning: Resource-Efficient RL for Edge ML* | 79.5 | One-time purchase | Advanced | No | Not stated on the listing | Moderate: RL basics and embedded systems | |
#6 Efficient Processing of Deep Neural Networks | 87.5 | Paid | PDF, Print | Advanced | No | 2020, Springer | Moderate: linear algebra and digital design |
| #7Reinforcement Learning: Theory and Algorithms | 86.0 | Free | Advanced | Yes | Draft, updated in 2026 | Heavy: probability and proofs | |
#8 Foundations of Deep Reinforcement Learning | 85.0 | Paid | Intermediate | No | 2021, Pearson | Moderate: probability and neural networks |
The full comparison table for best reinforcement learning and edge ML books has all 10 products.
Alternatives to Efficient Processing of Deep Neural Networks
All 9 alternatives
Reinforcement Learning: An IntroductionHas a free option.- Reinforcement Learning and Optimal ControlHas a free option.
TinyMLPractical guide to running machine learning on microcontrollers- Bandit AlgorithmsHas a free option.
- Reinforcement Learning: Theory and AlgorithmsHas a free option.
- Foundations of Deep Reinforcement LearningTheory and Python practice for deep reinforcement learning
Compare Efficient Processing of Deep Neural Networks
- Efficient Processing of Deep Neural NetworksversusReinforcement Learning: An Introduction
- Efficient Processing of Deep Neural NetworksversusReinforcement Learning and Optimal Control
- Efficient Processing of Deep Neural NetworksversusTinyML
- Efficient Processing of Deep Neural NetworksversusBandit Algorithms
- Efficient Processing of Deep Neural NetworksversusFringe Learning: Resource-Efficient RL for Edge ML (made by the publisher of this site)
- Efficient Processing of Deep Neural NetworksversusReinforcement Learning: Theory and Algorithms
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Questions about Efficient Processing of Deep Neural Networks
- Is Efficient Processing of Deep Neural Networks free?
- Efficient Processing of Deep Neural Networks is a paid product (paid). eBook in PDF and softcover from Springer; no free full text.
- Which formats is Efficient Processing of Deep Neural Networks available in?
- Efficient Processing of Deep Neural Networks is offered as PDF, Print.
- What is Efficient Processing of Deep Neural Networks best for?
- Hardware for efficient deep neural networks. In our ranking of reinforcement learning and edge ML books it is number 6 of 10 with a score of 87.5.
- What are the best alternatives to Efficient Processing of Deep Neural Networks?
- The highest-ranked alternatives on listme.name are Reinforcement Learning: An Introduction, Reinforcement Learning and Optimal Control, TinyML, Bandit Algorithms.
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All articles- Roundups · 5 min readBest books on reinforcement learning and edge MLChoose a reinforcement learning or edge ML book by level, free access and hardware focus. Compare Sutton and Barto, Bertsekas, TinyML and Fringe Learning.
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Made by, or connected to, the publisher of this site or people the publisher works with. Listed on the same criteria as everything else, with the lift described in How we rank and Disclosure.