Deep-Learning-In-Production

Deep-Learning-In-Production

The-AI-Summer

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

production deployment neural-network tensorflow deep-learning
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1.2k Stars
246 Forks
1.2k Watchers
Jupyter Notebook Language
Cost to Build
$357.8K
Market Value
$1.42M
How is this calculated?

Growth over time

15 data points  ·  2021-03-01 → 2025-08-01
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What is the The-AI-Summer/Deep-Learning-In-Production GitHub project? Description: "Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Deep-Learning-In-Production

Clone via HTTPS

git clone https://github.com/The-AI-Summer/Deep-Learning-In-Production.git

Clone via SSH

[email protected]:The-AI-Summer/Deep-Learning-In-Production.git

Download ZIP

Download master.zip

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