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anantzoid / The Technical Interview Cheat Sheet.md
Last active September 4, 2015 10:21 — 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.
@anantzoid
anantzoid / gan_mnist.py
Created November 23, 2016 06:43
Simple GAN implementation for MNIST data
import numpy as np
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
data = input_data.read_data_sets('/Users/jedi/Projects/deep/data/mnist/')
batch_size = 64
'''
Helper functions for network
'''
@anantzoid
anantzoid / pixelcnn_decoder.md
Created November 19, 2016 08:14
Summary for Conditional Image Generation with PixelCNN Decoder

Conditional Image Generation with PixelCNN Decoder

Implemenetation:

What

  • New image density model based on PixelCNN
  • Can generate variety of images from text embeddings or CNN layer weights
  • Serves as decoder in image autoencoder
  • Gated PixelCNN: Matches PixelRNN accuracy