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Building robots

Theodoros Ntakouris ntakouris

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Building robots
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CATEGORICAL_FEATURE_KEYS = [
'workclass',
'education',
'marital-status',
'occupation',
'relationship',
'...'
NUMERIC_FEATURE_KEYS = [
'age',
'capital-gain',
import numpy as np
# 'Raw Data'
ds = np.array([[3, 5, 7, 10],
[12, 14, 16, 21]])
# pass 1 - calculate mean
mean, std = np.mean(ds), np.std(ds)
# pass 2 - normalise
ds_for_train = (ds - mean) / std
# 'Raw Data'
ds = ['I am writing articles on medium.', 'Medium is good as a platform.']
# pass 1 - lowercase, strip punctuation
ds = [x.lower().replace('.', '') for x in dataset]
# ['i am writing articles on medium', 'medium is good as a platform']
# pass 2 - tokenize
ds_tok = [x.split(' ') for x in ds]
encoder_model = Model(encoder_input, encoder_states)
decoder_state_input_h = Input(shape=(latent_dim,))
decoder_state_input_c = Input(shape=(latent_dim,))
decoder_states_inputs = [decoder_state_input_h, decoder_state_input_c]
decoder_output, state_h, state_c = decoder_lstm_layer(
decoder_embedding,
initial_state=decoder_states_inputs)
SSD - https://www.skroutz.gr/s/13867031/Samsung-860-Evo-250GB.html
HDD - https://www.skroutz.gr/s/2195774/Western-Digital-Blue-1TB-7200rpm.html
RAM - https://www.skroutz.gr/s/19073883/Corsair-Vengeance-LPX-16GB-DDR4-3600MHz-CMK16GX4M2D3600C18.html
MOBO - https://www.skroutz.gr/s/17143363/Gigabyte-B450M-S2H.html#specs
CPU - https://www.skroutz.gr/s/19344792/AMD-Ryzen-3-3200G-Box.html
PSU - https://www.skroutz.gr/s/11542607/Corsair-CX-Series-CX450.html
Case - https://www.skroutz.gr/s/12232137/Cougar-MX330-X.html
Starting...
Loading fasttext model...
Loaded 2000000 words, with 300 vector length encoding.
> Preparing Dataset Loader
Loaded 172526 messages
> Making Model
> Training start
Traceback (most recent call last):
File "C:\Users\zarkopafilis\Desktop\implybot\testarch.py", line 36, in <module>
train_loss = train_util.train(model, train_iterator, optimizer, criterion, CLIP)

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from __future__ import unicode_literals, print_function, division
from io import open
import fasttext
import unicodedata
import string
import re
import random
import torch
import os
import numpy as np
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense
from keras.utils import to_categorical
features = ["Pclass", "Sex", "SibSp", "Parch"]
<template>
<Layout>
<div style="text-align: center;">
<br /><br />
<h1>Page not found</h1><br /><br />
<g-image src="/shuffleparrot.gif"/><br /><br />
<h3>Bad url or under construction</h3>
</div>
</Layout>
</template>