Deep Learning in Production- Notes

Tools:

Tensorflow- Ideal Library for deploying DL to Production

Sonnet- TensorFlow-based neural network library

Gym- A toolkit for developing and comparing reinforcement learning algorithms

Flask- API Wrapper

Docker- Containerization

AWS- Cloud Infra

https://www.kdnuggets.com/2021/04/deploy-machine-learning-models-to-web.html

https://stackoverflow.blog/2020/10/12/how-to-put-machine-learning-models-into-production/

https://www.kdnuggets.com/2019/06/approaches-deploying-machine-learning-production.html

https://towardsdatascience.com/simple-way-to-deploy-machine-learning-models-to-cloud-fd58b771fdcf

https://www.freecodecamp.org/news/deploy-your-machine-learning-models-for-free/

https://www.analyticsvidhya.com/blog/2017/09/machine-learning-models-as-apis-using-flask/

https://www.analyticsvidhya.com/blog/2020/03/tensorflow-serving-deploy-deep-learning-models/

https://medium.com/dataseries/easily-deploy-deep-learning-models-in-production-13db48071578

https://medium.com/data-for-ai/deploying-machine-learning-models-to-production-inference-service-architecture-patterns-bc8051f70080

https://www.coursera.org/learn/deploying-machine-learning-models-in-production

https://aws.amazon.com/getting-started/hands-on/build-train-deploy-machine-learning-model-sagemaker/

https://aws.amazon.com/blogs/machine-learning/how-to-deploy-deep-learning-models-with-aws-lambda-and-tensorflow/

https://www.coursera.org/projects/deploy-ml-model-aws-elastic-beanstalk

https://pages.awscloud.com/Deploying-Machine-Learning-Models-in-Production_2019_0418-MCL_OD.html

https://www.analyticsvidhya.com/blog/2020/11/deployment-of-ml-models-in-cloud-aws-sagemaker%E2%80%8Ain-built-algorithms/