Skip to content

Instantly share code, notes, and snippets.

View mubarak's full-sized avatar

Mubarak Seyed mubarak

22 followers · 75 following
  • San Francisco, CA
View GitHub Profile
@mubarak
mubarak / The Technical Interview Cheat Sheet.md
Created November 11, 2015 06:44 — forked from tsiege/The Technical Interview Cheat Sheet.md
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

  • Stores data elements based on an sequential, most commonly 0 based, index.
  • Based on tuples from set theory.
@mubarak
mubarak / tensorflow_finetune.py
Created June 13, 2017 21:14 — forked from omoindrot/tensorflow_finetune.py
Example TensorFlow script for fine-tuning a VGG model (uses tf.contrib.data)
"""
Example TensorFlow script for finetuning a VGG model on your own data.
Uses tf.contrib.data module which is in release candidate 1.2.0rc0
Based on:
- PyTorch example from Justin Johnson:
https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c
Required packages: tensorflow (v1.2)
You can install the release candidate 1.2.0rc0 here:
https://www.tensorflow.org/versions/r1.2/install/
Download the weights trained on ImageNet for VGG: