The-AI-Summer/Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
This resource helps machine learning engineers, data scientists, and software engineers effectively build, train, deploy, and maintain deep learning models in real-world applications. It takes your developed deep learning models and transforms them into robust, scalable systems capable of serving actual users. You'll learn how to take a model from experimentation to a customer-facing product.
1,247 stars. No commits in the last 6 months.
Use this if you have built deep learning models and need to understand the best practices and tools for putting them into production and scaling them for real users.
Not ideal if you are looking for an introduction to deep learning algorithms or how to train basic models for research purposes.
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Last pushed
May 01, 2023
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