lileiigithub

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

lileiigithub

#include <stdio.h>
#include <stdint.h>
#include <assert.h>

#define DATA_SIZE 2052

float decode(uint16_t float16_value)
{
  // MSB -> LSB
  // float16=1bit: sign, 5bit: exponent, 10bit: fraction