jorgenkg/python-neural-network
This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.
PythonBSD-2-Clause
Issues
- 1
Getting "nan" error
#28 opened by NourO93 - 0
Softmax Derivative
#30 opened by raufbhat-dev - 4
Support for python 3.+
#20 opened by NEGU93 - 5
How do I import a CSV file
#26 opened by davidrimshnick - 1
Example tests on training set
#27 opened by wizzwizz4 - 1
can be use with integer/float > 1 ?
#25 opened by ryzenX - 2
Does not work on machine
#24 opened by supernerdhelloworld - 3
Copy-pasted example code from README
#23 opened by mvrozanti - 2
- 5
Overfitting
#21 opened by NEGU93 - 4
Your package is py2.x and it installs on py3.x
#17 opened by KamodaP - 1
- 1
Neural Network Support for python 3.5?
#16 opened by pablofernandezorg - 2
How to measure accuracy?
#14 opened by hwsamuel - 1
Theoretical background links in documentation
#15 opened by hwsamuel - 2
ImportError: No module named learning_algorithms
#13 opened by chmdznr - 75
unable to save a model
#9 opened by omerarshad - 6
The numeric gradient check failed!
#12 opened by Ellebkey - 4
- 1
- 2
- 2
- 5
There are so many problems
#2 opened by shenyann