Clearing all output from journal.
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ff8986e103
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1 changed files with 12 additions and 65 deletions
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@ -2,17 +2,11 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Using TensorFlow backend.\n"
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]
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}
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],
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# If you're really new to python this code might be\n",
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"# a bit unreadable, but I tried to make it as simple\n",
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@ -35,31 +29,11 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"240000\n",
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"240\n",
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"[[ 0.88203814 0.94907443 0.32403829 ..., 0.55091702 0.10493225\n",
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" 0.89821938]\n",
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" [ 0.02144088 0.15692337 0.99218119 ..., 0.42989668 0.70931057\n",
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" 0.61624769]\n",
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" [ 0.24650157 0.68008751 0.65118644 ..., 0.44870335 0.3114548\n",
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" 0.63668488]\n",
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" ..., \n",
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" [ 0.6794534 0.05525846 0.7217934 ..., 0.71333628 0.1438383\n",
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" 0.07574106]\n",
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" [ 0.11292803 0.19181161 0.89034259 ..., 0.60669516 0.11716027\n",
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" 0.76495791]\n",
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" [ 0.59152954 0.92534686 0.77183522 ..., 0.61204755 0.84179215\n",
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" 0.50034833]]\n"
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]
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}
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],
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# Generating dummy data so I can understand how to input.\n",
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"data = np.random.random((1000,240))\n",
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@ -73,36 +47,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 1/5\n",
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"1000/1000 [==============================] - 1s 626us/step - loss: 0.0922 - acc: 0.0370\n",
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"Epoch 2/5\n",
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"1000/1000 [==============================] - 0s 158us/step - loss: 0.0895 - acc: 0.0360\n",
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"Epoch 3/5\n",
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"1000/1000 [==============================] - 0s 149us/step - loss: 0.0884 - acc: 0.0340\n",
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"Epoch 4/5\n",
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"1000/1000 [==============================] - 0s 163us/step - loss: 0.0879 - acc: 0.0310\n",
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"Epoch 5/5\n",
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"1000/1000 [==============================] - 0s 165us/step - loss: 0.0877 - acc: 0.0340\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"<keras.callbacks.History at 0x7f852ccdb320>"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"# Sets up a Sequential model, Sequential is all\n",
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"# that should need to be used for this project,\n",
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