shudima/notebooks
Jupyter Notebooks with Deep Learning Tutorials
This project provides practical, step-by-step guides for building deep learning models. It takes you from understanding core concepts like activation functions and text representation to implementing solutions for specific tasks like classifying images, recognizing named entities in text, or performing sentiment analysis. This is ideal for data scientists, machine learning engineers, or researchers looking to learn or apply deep learning techniques through hands-on examples.
209 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer who learns best by working through concrete deep learning examples with code.
Not ideal if you are looking for a production-ready library or a comprehensive theoretical deep learning textbook.
Stars
209
Forks
127
Language
Jupyter Notebook
License
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Category
Last pushed
Aug 05, 2019
Commits (30d)
0
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