This is a small repository of deep learning methods.
I wanted to make this repository as a documentation of my work in graduate school.
Deep Learning is a fantasitcally fun subject to study. It's truly magic (but mostly statistics).
Link to project: http://recruiters-love-seeing-live-demos.com/
Tech used: Python, Pytorch
Python is popular among deep learning coders. I would recommend to anyone who wants to learn deep learning methods to use a easy-for-humans to read language.
Jupyter Notebooks are brilliant for prototyping code. I enjoy the flexability and transparentness of working in a notebook before implementing the code into a proper framework.
Load weights of trained models if possible. Unless the model is truly unique, models do not need to be re-trained on local machines. Load checkpoints or download pre-trained models whenever possible.
Take a look at these couple examples that I have in my own portfolio:
PlaceHolder: https://github.com/abenya82/