- 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
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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 | |
''' |
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.
###Array ####Definition:
- Stores data elements based on an sequential, most commonly 0 based, index.
- Based on tuples from set theory.