Download Deep Learning: DL1943 Cheatsheet: DL AI ML Research, Engineering, Optimization and System Design (DL1943 Cheatsheet: Deep Learning GenAI LLM Engineer Book 1) PDF Free - Full Version
Download Deep Learning: DL1943 Cheatsheet: DL AI ML Research, Engineering, Optimization and System Design (DL1943 Cheatsheet: Deep Learning GenAI LLM Engineer Book 1) by Calder Reed in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Learning: DL1943 Cheatsheet: DL AI ML Research, Engineering, Optimization and System Design (DL1943 Cheatsheet: Deep Learning GenAI LLM Engineer Book 1)
Read sample and you will start learning new things instantly: This book and “Deep DL1943 DL AI ML Research, Engineering, Optimization and u0026 System Design and ” is the only book you need to master Deep Learning (DL) concepts. The focus is on 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 covering all core concepts in DL research, engineering and optimization concepts like Perceptron, Gradient DescentAll basic terms like epoch, topK and basic ops like MaxPoolConcepts to run algorithms in parallel in GPU and CPUCore techniques like INT8 QuantizationDeep 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 instructions like AVX512 VNNIAlgorithmic optimizations for DL operations like MatMulGraph level operationsand 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 Deep Learning Artificial Intelligence.Clear interviews for full-time positions at high-tech companies. Good enough 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 MetaSenior Deep Learning Systems Software Engineer – AI or AI Developer Technology Engineer at NVIDIAKernel Software Engineer – AI ML GPU or Senior Machine Learning Software Engineer at AMDLead Engineer, Senior-C C++, machine learning at QualcommMachine Learning Engineer at Microsoft (Level 60 to 66)And much more.This book is 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. Deep DL1943 DL AI ML Research, Engineering, Optimization and u0026 System DesignAuthors (2): Calder Reed, Chen Hui Fang February 2025 (Edition 1)
Detailed Information
| Author: | Calder Reed |
|---|---|
| Publication Year: | 2025 |
| Pages: | 153 |
| Language: | English |
| File Size: | 6.7 |
| Format: | |
| Price: | FREE |
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