LSTM Algorithm for predicting a future event based on a logical value - Python

Reply #11

lucky1day — Sun, 29 Oct 2017 19:57:55 GMT

OK,

I see that preprocessing is a part of sklearn framework. In python 3.6

I needed to import using from sklearn import preprocessing then norm = preprocessing worked for me. When I get some more free time, there are some other errors in the code I need to figure out.

Sorry osmannica2001, if I came off a little belligerent.

LSTM and tensorflow looks promising if used in the right context. I think machine learning can be used successfully if used in conjunction with other methods.

Reply #10

thamizhpayan — Fri, 27 Oct 2017 20:21:24 GMT

HI

He is using this library: http://scikit-learn.org/stable

It is machine learning in python library

You should have this inorder to run that code. Are you a beginner or professional programmer?

Good Luck

Reply #9

lucky1day — Fri, 27 Oct 2017 17:19:37 GMT

I guess if I know the function is missing I ran it! I'm a python programmer.

Reply #8

thamizhpayan — Fri, 27 Oct 2017 16:21:10 GMT

That's python code and you need libraries or apis to run it.

Did you try running it or just skimmed though the code and thought that code is missing?

The OP should also spend some time to give information to run the code.

Good Luck

Reply #7

lucky1day — Thu, 26 Oct 2017 19:21:00 GMT

I don't understand the blind posting of code that you probably haven't run!!!

norm = sklearn.preprocessing

Where is the function

Reply #6

RL-RANDOMLOGIC — Thu, 26 Oct 2017 14:22:22 GMT

Reply #5

lakerben — Sat, 14 Oct 2017 17:00:45 GMT

Pick3?

Pick 6?

Nice programming but can you show some examples

Reply #4

osmannica2001 — Sat, 14 Oct 2017 04:33:08 GMT

Its too much to explain !go here https://ayearofai.com/rohan-lenny-3-recurrent-neural-networks-10300100899b

Reply #3

osmannica2001 — Sat, 14 Oct 2017 04:32:30 GMT

no! this is a simplified version of an LSTM network. Long short term memory

Reply #2

MillionsWanted — Tue, 03 Oct 2017 23:25:17 GMT

This is related to Deep Learning networks

Reply #1

mitachoo — Tue, 03 Oct 2017 08:45:18 GMT

Awesome! But how about a little more information please? Like what exactly your program is trying to accomplish, a walk through of the program, etc

LSTM Algorithm for predicting a future event based on a logical value - Python

osmannica2001 — Sat, 30 Sep 2017 06:39:29 GMT

import copy, numpy as np

import sklearn

#compute sigmoid nonlinearity

def sigmoid(x):

output = 1/(1+np.exp(-x))

return output

#convert output to its derivative

def sigmoid_prime(output):

return output*(1-output)

norm = sklearn.preprocessing

filename = 'output.csv'

data = np.loadtxt(filename, delimiter=',')

#data = data.reshape(len(data), 1)

x = norm.normalize(data[:5])#.T

y = norm.normalize(data[20])#.T

#input variables

alpha = 0.00021... [ More ]