sozykin/dlpython_course
Примеры для курса "Основы нейронных сетей"
This collection of programming examples helps you learn to build neural networks in Python for various real-world tasks. It takes in datasets like images, text, or numerical time series data and shows you how to train models to classify items (e.g., recognize clothing, categorize text) or predict values (e.g., housing prices). This is for students or practitioners looking to understand and apply deep learning concepts using popular frameworks.
324 stars.
Use this if you are a student or a data professional new to deep learning and want practical, guided examples to learn how to implement neural networks for common data problems.
Not ideal if you are looking for a plug-and-play solution for a specific business problem rather than learning the underlying deep learning implementation details.
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324
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239
Language
Jupyter Notebook
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Last pushed
Jan 01, 2026
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