Presentation briefly introducing deep learning and how to apply a specific subset of deep learning, recurrent neural networks, to solve real world problems.
Code Repo: https://github.com/axsauze/crypto-ml
Topics covered:
- Overview of presentation
- Machine learning expectation and reality
- Challenges of large scale, industry-ready machine learning
- Building the machine learning models
- Starting out: Simple models
- Next level: Deep Learning
- Stepping up our deployment
- Containers
- Serving for the masses
- Using celery and rabbitmq
- Taking it to the professional levels
- Stepping up the game with Kubernetes
You can also run the presentation on a local web server. Clone this repository and run the presentation like so:
npm install
grunt serve
The presentation can now be accessed on localhost:8080. Note that this web application is configured to bind to hostname 0.0.0.0, which means that once the Grunt server is running, it will be accessible from external hosts as well (using the current host's public IP address).
A lot of the slides are re-used from a talk I did last year with Donald Whyte in Moscow!
