Neural Net Stuffs


An experiment to go though the whole life cycle of building, training, and deploying the models. Jupyter notebooks and fastai v1 framework are used to build and train deep neural networks. The models are deployed to backend server for inference. The AWS lambda service is used to expose Rest API and route the requests to the backend inference engine.

Click the links below to test dive the UI.

Test markdown

Each post also has a subtitle

You can write regular markdown here and Jekyll will automatically convert it to a nice webpage. I strongly encourage you to take 5 minutes to learn how to write in markdown - it’ll teach you how to transform regular text into bold/italics/headings/tables/etc. [Read More]
Tags: test

To be

... or not to be?

To be, or not to be–that is the question: Whether ‘tis nobler in the mind to suffer The slings and arrows of outrageous fortune Or to take arms against a sea of troubles And by opposing end them. To die, to sleep– No more–and by a sleep to say we... [Read More]

Dear diary

What is it with that Mary girl? Dragging me to school every day. As if I had a choice. What you don’t hear in those nursery rhymes is that she starves me if I don’t go to school with her; it’s the only way I can stay alive! I’m thinking... [Read More]