demacdolincoln

addprocs(3)
global dim = 2

################################################################################
#                            preparando a base de dados                        #
################################################################################
lin = 3     # linhas
col = 10000 # colunas
trein = SharedArray{Float64}(lin, col)

demacdolincoln

#!/usr/bin/python3
# -*- coding: utf-8 -*-
from urllib.request import urlopen, Request
import json
from sys import argv
from os.path import expanduser as expand

data = {
        "description" : "",
        "public" : True,

demacdolincoln

# -*- coding: utf-8 -*-
"""
@author: lincoln

fontes:
http://scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
http://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html

obs.: se for exibir as imagens no jupyter notebook ou qtconsole

demacdolincoln

l1 = [1,2]
l2 = l1
l1.append(3)
l2

def teste(lista):
    for i in range(4, 10):
        lista.append(i)

teste(l1)

demacdolincoln

demacdolincoln

GIT

Estados

• Modificado (modified);
• Preparado (staged/index)
• Consolidado (comitted);

Ajuda

demacdolincoln

################################################################################
#
# leituras recomendadas (e que tambem precisei para escrever esse script):
#     * https://matheusfacure.github.io/2017/05/15/deep-ff-ann-pytorch/
#     * http://deeplearningbook.com.br/funcao-de-ativacao/
#
################################################################################

import torch
from torch import autograd, nn

demacdolincoln

demacdolincoln

demacdolincoln