the-full-stack/fsdl-text-recognizer-project
A hands-on course teaching end-to-end deep learning: building, training, and deploying a handwriting recognition system.
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Lab materials for the Full Stack Deep Learning Bootcamp where students build a handwriting recognition system from scratch. Uses Keras for model development with EMNIST character data, CTC loss for sequence prediction, and Weights & Biases for experiment tracking. Covers parallel training, model evaluation, REST API packaging, Docker containerization, AWS Lambda deployment, and monitoring for data distribution shifts.
Frequently asked
- What is the-full-stack/fsdl-text-recognizer-project?
- A hands-on course teaching end-to-end deep learning: building, training, and deploying a handwriting recognition system.
- Is fsdl-text-recognizer-project open source?
- Yes — the-full-stack/fsdl-text-recognizer-project is an open-source project tracked on heatdrop.
- What language is fsdl-text-recognizer-project written in?
- the-full-stack/fsdl-text-recognizer-project is primarily written in Jupyter Notebook.
- How popular is fsdl-text-recognizer-project?
- the-full-stack/fsdl-text-recognizer-project has 1.2k stars on GitHub.
- Where can I find fsdl-text-recognizer-project?
- the-full-stack/fsdl-text-recognizer-project is on GitHub at https://github.com/the-full-stack/fsdl-text-recognizer-project.