Underscore example:
_.each([1, 2, 3], function(num) { alert(num); });
'''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/ |
import torch | |
import torch.nn as nn | |
import torch.nn.parallel | |
class DCGAN_D(nn.Container): | |
def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0): | |
super(DCGAN_D, self).__init__() | |
self.ngpu = ngpu | |
assert isize % 16 == 0, "isize has to be a multiple of 16" |
["✌","😂","😝","😁","😱","👉","🙌","🍻","🔥","🌈","☀","🎈","🌹","💄","🎀","⚽","🎾","🏁","😡","👿","🐻","🐶","🐬","🐟","🍀","👀","🚗","🍎","💝","💙","👌","❤","😍","😉","😓","😳","💪","💩","🍸","🔑","💖","🌟","🎉","🌺","🎶","👠","🏈","⚾","🏆","👽","💀","🐵","🐮","🐩","🐎","💣","👃","👂","🍓","💘","💜","👊","💋","😘","😜","😵","🙏","👋","🚽","💃","💎","🚀","🌙","🎁","⛄","🌊","⛵","🏀","🎱","💰","👶","👸","🐰","🐷","🐍","🐫","🔫","👄","🚲","🍉","💛","💚"] |
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>GridLayer Test</title> | |
<meta charset="utf-8" /> | |
<link rel="stylesheet" href="https://unpkg.com/[email protected]/dist/leaflet.css" /> | |
<style> | |
body { | |
padding: 0; | |
margin: 0; |
from keras.models import Sequential | |
from keras.layers import Dense | |
from keras.utils.io_utils import HDF5Matrix | |
import numpy as np | |
def create_dataset(): | |
import h5py | |
X = np.random.randn(200,10).astype('float32') | |
y = np.random.randint(0, 2, size=(200,1)) | |
f = h5py.File('test.h5', 'w') |
import tensorflow as tf | |
import numpy as np | |
import math | |
#import pandas as pd | |
#import sys | |
input = np.array([[2.0, 1.0, 1.0, 2.0], | |
[-2.0, 1.0, -1.0, 2.0], | |
[0.0, 1.0, 0.0, 2.0], | |
[0.0, -1.0, 0.0, -2.0], |
{ | |
"n02112350": 148, | |
"n04344873": 311, | |
"n01692333": 470, | |
"n03459775": 725, | |
"n04133789": 751, | |
"n01871265": 214, | |
"n04366367": 681, | |
"n03891332": 527, | |
"n03085013": 543, |
from pylab import * | |
def cface(ax, x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18): | |
# x1 = height of upper face | |
# x2 = overlap of lower face | |
# x3 = half of vertical size of face | |
# x4 = width of upper face | |
# x5 = width of lower face | |
# x6 = length of nose | |
# x7 = vertical position of mouth |