dudeperf3ct/DL_Notebooks
This repo contains all the notebooks mentioned in blog.
This collection of notebooks provides practical examples for implementing various deep learning techniques across different frameworks. It helps machine learning engineers and researchers understand how to apply methods like image classification, natural language processing, and federated learning. You input problem definitions and data, and the notebooks output working code examples and models for various deep learning tasks.
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Use this if you are a machine learning engineer or researcher looking for hands-on code examples to understand and implement deep learning concepts across different frameworks.
Not ideal if you are a non-technical user seeking a ready-to-use application or a developer looking for a specific library or API documentation.
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Jupyter Notebook
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Last pushed
Jan 26, 2020
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