Title: Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design (DL1943 Cheatsheet: Deep Learning / GenAI / LLM Engineer)
Publisher: Independently published
Publication Date: 2025
Language: English
ISBN 13: 9798310930803
Binding: Soft cover
Condition: New

About this title

Synopsis

This book "Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design" is the only book you need to master Deep Learning (DL) concepts. The focus is on practical research and engineering ideas.

This is a cheatsheet just like distilled datasets.
You do not need to read 1000s of pages. Just 150 pages is enough to revise the cutting-edge Deep Learning engineering and research ideas.

This book include:

Chapters covering all core concepts in DL research, engineering and optimization including:
- Basic concepts like Perceptron, Gradient Descent
- All basic terms like epoch, topK and basic ops like MaxPool
- Concepts to run algorithms in parallel in GPU and CPU
- Core techniques like INT8 Quantization
- Deep Learning System Design (with examples)
- Numerical Analysis concepts like INT32 IEEE754, emulating FP64 using FP32.
- Model architectures from MLP to CNN to LLM.
- Optimization techniques across:
  - Assembly instructions like AVX512 VNNI
  - Algorithmic optimizations for DL operations like MatMul
  - Graph level operations
- and much more.
Each chapter is a CHEATSHEET. It includes to-the-point explanation and relevant code snippets.
Each concept can be covered quickly in at most 4 minutes.
Over 350 DL/AI concepts have been covered.

With this, you will be able to crack any Deep Learning Coding Interview easily.

After reading this book, you will:

Master Deep Learning/ Artificial Intelligence.
Clear interviews for full-time positions at high-tech companies. Good enough for:
- Software Engineer 2/3, Machine Learning or Senior Software Engineer, AI/ML GenAI or ML Analyst at Google (L3/L4/L5)
- Software Engineer, Machine Learning (E4/E5/E6) at Meta
- Senior Deep Learning Systems Software Engineer - AI or AI Developer Technology Engineer at NVIDIA
- Kernel Software Engineer - AI/ML GPU or Senior Machine Learning Software Engineer at AMD
- Lead Engineer, Senior-C/C++, machine learning at Qualcomm
- Machine Learning Engineer at Microsoft (Level 60 to 66)
- And much more.

This book is for:

Students and developers preparing for Coding Interviews specifically for Machine Learning/Deep Learning/GenAI positions.
Experienced developers who wanted to revise their Deep Learning skills.
Students who need a coding sheet to revise DL/AI/ML topics quickly.

Get started with this book and change the equation of your career.

Book: Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design
Authors (2): Calder Reed, Chen Hui Fang
Published: February 2025 (Edition 1)

"About this title" may belong to another edition of this title.

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