nolearn is a Python package with utility functions for machine learning tasks.
nolearn is a python package with utility functions for machine learning tasks.
Dependencies:
Resources:
Questions tagged [nolearn]
43 questions
1
vote
1 answer
How to calculate F1-micro score using lasagne
import theano.tensor as T
import numpy as np
from nolearn.lasagne import NeuralNet
def multilabel_objective(predictions, targets):
epsilon = np.float32(1.0e-6)
one = np.float32(1.0)
pred = T.clip(predictions, epsilon, one - epsilon)
…
Kun
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1
vote
1 answer
Aggregate predictions with data augmentation in lasagne
I am working on the MNIST dataset and using data augmentation to train a neural network. I have a BatchIterator which randomly extracts from each picture a 24, 24 subimage, and uses it as input for the NN.
As far as training is concerned,…
P. Camilleri
- 12,664
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1
vote
2 answers
Making neural net to draw an image (aka Google's inceptionism) using nolearn\lasagne
Probably lots of people already saw this article by Google research:
http://googleresearch.blogspot.ru/2015/06/inceptionism-going-deeper-into-neural.html
It describes how Google team have made neural networks to actually draw pictures, like an…
Maksim Khaitovich
- 4,742
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0
votes
1 answer
How to store and read nolearn.lasagne NeuralNet models using pickle
How do I store the weights and biases in nolearn.lasagne NeuralNet model? From the documentation, I can't see how to access the NeuralNet's weights and biases and store them.
Kevin George
- 119
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0
votes
1 answer
Trying to use ConcatLayer with different shape inputs
I am trying to work with nolearn and use the ConcatLayer to combine multiple inputs. It works great as long as every input has the same type and shape. I have three different types of inputs that will eventually produce a single scalar output…
Beaker
- 2,804
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0
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0 answers
Lasagne basic example not working?
I went through the install steps for lasagne, straight from the lasagne docs. And now I am running the following example:
https://github.com/Lasagne/Lasagne/blob/master/examples/mnist.py
The output expected is shown on the tutorial page of the…
user3216016
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0
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1 answer
Consistency testing results of NeuralNet nolearn
I am using NeuralNet class in nolearn library to do classification task. Here's the code:
layers0 = [('input', InputLayer),
('hidden', DenseLayer),
('output', DenseLayer)]
net0 = NeuralNet(layers=layers0,
…
mdc
- 53
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0
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0 answers
nolearn/lasagne ImportError: No module named layers
I am getting an error when I try to run CNN program CNN using my own data set. Im using Python2.7
File "C:\Python27\Lib\site-packages\nolearn\lasagne.py", line 9, in
from lasagne.layers import get_all_layers
ImportError: No module named…
Alaska
- 31
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- 6
0
votes
1 answer
nolearn error when trying to run an AutoEncoder
I am trying to run a simple auto encoder using nolearn:
import nolearn
from nolearn.dbn import DBN
from sklearn.cross_validation import train_test_split
data=np.load('doc_user_matrix.npy')
print (data.shape) #outputs: (10000,500)
(x_train, x_test,…
Uri Goren
- 13,386
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0
votes
1 answer
Multiple real inputs and multiple real outputs in a neural network
How can I train a perceptron where there are multiple input and output nodes and both are real-valued?
I'm doing this because I want to train a neural network to predict the MFCCs given some data points (from the signal.)
Here is an example data:…
fxhh
- 47
- 9
0
votes
1 answer
KeyError raised when training a neural network with Nolearn
I am trying to train a neural network on the iris dataset. I found a tutorial on neural networks using nolearn and the instructor used the mnist dataset. I tried to "mimick" the same algorithm but an error is raised. Here is the code:
# Sklearn…
fxhh
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0
votes
1 answer
Multi-class regression in nolearn?
I'm trying to build a Neural Network using nolearn that can do regression on multiple classes.
For example:
net = NeuralNet(layers=layers_s,
input_shape=(None, 2048),
l1_num_units=8000,
l2_num_units=4000,
…
B100
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-1
votes
1 answer
Python: Deep neural networks
I am currently working on some project related to machine learning.
I extracted some features from the object.
So I train and test that features with NB, SVM and other classification algorithms and got result about 70 to 80 %
When I train the same…
hrishabh upadhyay
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