rohanmistry231/PyTorch-Interview-Preparation
A targeted resource for mastering PyTorch, featuring practice problems, code examples, and interview-focused deep learning concepts in Python. Covers neural network implementation, model training, and optimization techniques for technical interview success.
This resource helps machine learning engineers and data scientists prepare for technical deep learning interviews and excel in AI/ML projects. It provides a structured roadmap, practice problems, and code examples for mastering PyTorch. Users can input their existing Python, math, and ML knowledge and come away with a comprehensive understanding of PyTorch applications, from basic neural networks to advanced models like Transformers.
No commits in the last 6 months.
Use this if you are a machine learning engineer, data scientist, or AI researcher looking to strengthen your PyTorch skills for interviews or to build robust deep learning models.
Not ideal if you are new to programming, lack foundational Python, linear algebra, calculus, or basic machine learning knowledge.
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Python
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MIT
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Last pushed
May 22, 2025
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