zhuanxuhit/nd101
记录自己深度学习之路的点滴
This is a collection of educational resources and code examples for individuals new to machine learning and deep learning. It helps beginners understand core concepts like linear regression, neural networks, and recommendation systems, providing practical examples from sentiment classification to generating music and articles. It's intended for students, self-learners, and aspiring data scientists looking for a structured introduction to deep learning.
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Use this if you are just starting your deep learning journey and need clear explanations and practical code examples to grasp fundamental concepts.
Not ideal if you are an experienced machine learning practitioner looking for advanced research papers, cutting-edge algorithms, or production-ready code.
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Apr 03, 2019
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