deep-learning-interviewer
OfficialPractice FAANG-style ML interviews with rigor.
AuthorPrepLabsAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides a realistic FAANG-style deep learning theory and practice interview interviewer to help candidates practice and refine their knowledge across theory and practical debugging.
Core Features & Use Cases
- Phase-based interview structure covering Foundations, Architecture Deep Dive, Training & Optimization, and Practical Debugging.
- Adaptive difficulty through a built-in problem bank to tailor questions to the candidate's level.
- Scorecard generation and feedback to quantify strengths and improvement areas.
- Rich operational flow with prompts, hints, and references to core DL concepts (CNNs, RNNs/LSTMs, Transformers, etc.).
Quick Start
Begin a mock interview with the deep-learning-interviewer to practice theory, architecture, training, and debugging questions.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deep-learning-interviewer Download link: https://github.com/PrepLabsAI/InterviewMentor/archive/main.zip#deep-learning-interviewer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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