深度学习面试：来自AI中各种关键主题的数百个完全解决的面试问题
Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI
摘要：
第二版的深度学习访谈是数百个完全解决的问题的所在地，这些问题来自人工智能的广泛关键主题。它旨在排练面试或考试特定主题，并提供机器学习硕士/博士学位。学生，和那些等待面试的一个组织良好的概述该领域。它所提出的问题足够棘手，足以让你破釜沉舟，并极大地提高你的技能，但它们都包含在发人深省的问题和引人入胜的故事中。这就是为什么这本书对学生和求职者特别有价值：它使他们能够自信地快速回答任何相关话题，清晰正确地回答技术问题，并充分理解面试问题和答案的目的和意义。这些都是走进面试室时不可或缺的强大优势。这本书的内容是一个大库存的许多主题相关的DL工作面试和研究生水平考试。这使得这项工作处于科学发展趋势的最前沿，即教授一套实用的数学和计算技能。人们普遍认为，每个计算机科学家的培训都必须包括ML的基本定理，几乎每个大学的课程中都有AI。这卷被设计为一个很好的参考这些程序的毕业生。
英文摘要：
The second edition of Deep Learning Interviews is home to hundreds of fully-solved problems, from a wide range of key topics in AI. It is designed to both rehearse interview or exam specific topics and provide machine learning MSc / PhD. students, and those awaiting an interview a well-organized overview of the field. The problems it poses are tough enough to cut your teeth on and to dramatically improve your skills-but they're framed within thought-provoking questions and engaging stories. That is what makes the volume so specifically valuable to students and job seekers: it provides them with the ability to speak confidently and quickly on any relevant topic, to answer technical questions clearly and correctly, and to fully understand the purpose and meaning of interview questions and answers. Those are powerful, indispensable advantages to have when walking into the interview room. The book's contents is a large inventory of numerous topics relevant to DL job interviews and graduate level exams. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills. It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. This volume is designed as an excellent reference for graduates of such programs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
