Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design

Name: Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design
Brand: Independently Published
SKU: 9798310930803
Price: 2587.0 INR
Availability: InStock

by Chen Hui Fang

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ISBN13: 9798310930803
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: February 23, 2025
Pages: 150
Original Price: USD 29.97
Language: English
Edition: N/A
Item Weight: 273 grams
BISAC Subject(s): Data Science / Neural Networks

About The Book

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 plain truth is: This is a goldmine to help you take over the entire DL/AI knowledge.
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
- Core techniques like INT8 Quantization
- Deep Learning System Design (with examples)
- Numerical Analysis concepts like INT32 IEEE754, emulating FP64 using FP32.
- 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)

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