balavenkatesh3322/Deep-learning-Notebook

A collection of deep learning notebooks for learning and practicing.

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Experimental

This collection provides ready-to-run examples for learning and practicing various deep learning tasks. You'll find notebooks that take common data types like images, audio, and text, then show you how to build models that classify, generate, or understand that data. This is designed for anyone looking to understand or implement core deep learning concepts, especially those new to frameworks like TensorFlow and PyTorch.

No commits in the last 6 months.

Use this if you are a student, researcher, or practitioner who wants to learn deep learning by experimenting with practical, hands-on examples for common AI tasks.

Not ideal if you are looking for a fully-fledged, production-ready deep learning application or a simple API to solve a specific problem without understanding the underlying code.

machine-learning-education image-classification natural-language-processing audio-analysis predictive-modeling
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 15 / 25

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Last pushed

Mar 16, 2021

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