Brenda Thng breadplop
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| d3 = function() { | |
| var d3 = { | |
| version: "3.2.7" | |
| }; | |
| if (!Date.now) Date.now = function() { | |
| return +new Date(); | |
| }; | |
| var d3_document = document, d3_documentElement = d3_document.documentElement, d3_window = window; | |
| try { | |
| d3_document.createElement("div").style.setProperty("opacity", 0, ""); |
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| d3 = function() { | |
| var d3 = { | |
| version: "3.2.7" | |
| }; | |
| if (!Date.now) Date.now = function() { | |
| return +new Date(); | |
| }; | |
| var d3_document = document, d3_documentElement = d3_document.documentElement, d3_window = window; | |
| try { | |
| d3_document.createElement("div").style.setProperty("opacity", 0, ""); |
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| d3 = function() { | |
| var d3 = { | |
| version: "3.2.7" | |
| }; | |
| if (!Date.now) Date.now = function() { | |
| return +new Date(); | |
| }; | |
| var d3_document = document, d3_documentElement = d3_document.documentElement, d3_window = window; | |
| try { | |
| d3_document.createElement("div").style.setProperty("opacity", 0, ""); |
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| d3 = function() { | |
| var d3 = { | |
| version: "3.2.7" | |
| }; | |
| if (!Date.now) Date.now = function() { | |
| return +new Date(); | |
| }; | |
| var d3_document = document, d3_documentElement = d3_document.documentElement, d3_window = window; | |
| try { | |
| d3_document.createElement("div").style.setProperty("opacity", 0, ""); |
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| d3 = function() { | |
| var d3 = { | |
| version: "3.2.7" | |
| }; | |
| if (!Date.now) Date.now = function() { | |
| return +new Date(); | |
| }; | |
| var d3_document = document, d3_documentElement = d3_document.documentElement, d3_window = window; | |
| try { | |
| d3_document.createElement("div").style.setProperty("opacity", 0, ""); |
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| d3 = function() { | |
| var d3 = { | |
| version: "3.2.7" | |
| }; | |
| if (!Date.now) Date.now = function() { | |
| return +new Date(); | |
| }; | |
| var d3_document = document, d3_documentElement = d3_document.documentElement, d3_window = window; | |
| try { | |
| d3_document.createElement("div").style.setProperty("opacity", 0, ""); |
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| d3 = function() { | |
| var d3 = { | |
| version: "3.2.7" | |
| }; | |
| if (!Date.now) Date.now = function() { | |
| return +new Date(); | |
| }; | |
| var d3_document = document, d3_documentElement = d3_document.documentElement, d3_window = window; | |
| try { | |
| d3_document.createElement("div").style.setProperty("opacity", 0, ""); |
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| { | |
| "rules": { | |
| "reviewsLogin": { | |
| ".read": true, | |
| ".write": true | |
| }, | |
| "reviews": { | |
| ".read": true, | |
| ".write": true | |
| }, |
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| from keras.datasets import mnist | |
| from keras.utils import np_utils | |
| from keras.layers import Input, Dense, Dropout, Activation, Flatten, Convolution2D, ZeroPadding2D, MaxPooling2D | |
| from keras.models import Model | |
| batch_size = 128 | |
| nb_classes = 10 | |
| epochs = 10 | |
| # input image dimensions |
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| # https://paper.dropbox.com/doc/Assignment-4--AQAaS_sEpPtBSwlJT9IK8u3qAg-AbLDwYkKF1jWLBcH7aM0J | |
| from __future__ import print_function | |
| import keras | |
| from keras.datasets import mnist | |
| from keras.models import Model | |
| from keras.layers import Input, Dense, Flatten | |
| from keras.layers import Dense, Activation | |
| from keras.layers import SimpleRNN | |
| from keras import initializers |
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