DeepLearing-Interview-Awesome-2024
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Deeplearing Interview Awesome 2024
Overview :
DeepLearing-Interview-Awesome-2024 is an open-source project of interview questions, focusing on interview preparation for the fields of deep learning algorithms and large models. Maintained by the community, it aims to provide the latest interview questions and answer explanations to help job seekers and researchers gain a deep understanding of the cutting-edge technologies and applications in the field of deep learning. It includes a rich set of interview questions covering large language models, visual models, general questions, and more, making it a valuable resource for preparing for positions related to deep learning.
Target Users :
["Job Seekers: Prepare for technical interviews in the field of deep learning.","Researchers: Keep up with the current research hotspots in academia and the industry.","Students: Use as a supplementary material for learning deep learning technology.","Professionals: Enhance your professional skills in the field of deep learning."]
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 67.6K
Use Cases
Job seekers use this project to prepare for Google's deep learning engineer interview.
Researchers use this project to understand the current research trends in the field of deep learning.
Students deepen their understanding of the theoretical knowledge and application scenarios of deep learning through this project.
Features
Provide frequently asked algorithm interview questions, keeping up with the academic and industrial developments.
Include interview questions in the field of large models, such as model fine-tuning, model structure, and model optimization.
Questions have a certain content and depth, such as interview questions aimed at improving business scenarios.
Inspired by the innovative points of papers, promoting learners to deeply understand the principles behind the questions.
Provide answer explanations to help learners understand the principles behind the questions.
Continuously updated to maintain the timeliness and relevance of information.
Community-driven, encouraging joint creation and contribution.
How to Use
Step 1: Visit the project page and browse the six major topics and question lists.
Step 2: Select a topic of interest and read the specific interview questions.
Step 3: View the answer explanations for the corresponding questions to deeply understand the principles behind them.
Step 4: Participate in community discussions to exchange interview experiences and technical insights with other learners.
Step 5: Stay updated on project changes to get the latest interview questions and industry trends.
Step 6: Use project resources for simulated interviews to improve interview skills.
Step 7: Contribute your knowledge and experience to help improve the contents of the project.
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