itdxer

4 ms·

1.
The mathematical necessity for beautiful solutions(blog.itdxer.com)
4 points by itdxer 6y ago|0 comments
2.
Earthquakes in the Landscape of Neural Network(neupy.com)
1 points by itdxer 7y ago|0 comments
3.
Earthquakes in the Landscape of Neural Network(neupy.com)
2 points by itdxer 7y ago|0 comments
4.
Making Art with Growing Neural Gas(neupy.com)
1 points by itdxer 8y ago|0 comments
5.
Explore deep neural networks with Self-Organizing Maps(neupy.com)
2 points by itdxer 9y ago|0 comments
6.
Self-Organizing Maps and Applications (including deep learning)(neupy.com)
2 points by itdxer 9y ago|0 comments
7.
Simple implementation of Neural Network that learns to plan its actions(github.com)
1 points by itdxer 10y ago|0 comments
8.
Value Iteration Network in NeuPy(github.com)
3 points by itdxer 10y ago|0 comments
9.
Techblog: How We at CLIQZ Protect Users from Web Tracking(cliqz.com)
1 points by itdxer 10y ago|0 comments
10.
Hyperparameter optimization for Neural Networks(neupy.com)
1 points by itdxer 10y ago|0 comments
11.
How Facebook knows exactly what turns you on(cliqz.com)
1 points by itdxer 10y ago|0 comments
12.
3D bin packing problem in R(delta1epsilon.github.io)
3 points by itdxer 10y ago|0 comments
13.
Game with 8x8 LED matrix on Arduino(blog.itdxer.com)
1 points by itdxer 10y ago|0 comments
14.
Saving Partial Machine Learning Results with Checkpoints(blog.itdxer.com)
1 points by itdxer 10y ago|0 comments
15.
Share Documentation Between Classes and Functions in Python(blog.itdxer.com)
1 points by itdxer 10y ago|0 comments
16.
Neural Network that was build in pure SQL(blog.itdxer.com)
5 points by itdxer 10y ago|0 comments
17.
by itdxer 10y ago
There are a couple of advantages: 1. It's based on Theano, so it's fast. Also you are able to run your code on CPU and GPU. 2. NeuPy supports a lot of algorithms and different layer types ( http://neupy.com/docs&#x2
18.
Visualize Algorithms based on the Backpropagation(neupy.com)
4 points by itdxer 10y ago|0 comments
19.
Approximate Standard Normal Distribution CDF(blog.itdxer.com)
1 points by itdxer 11y ago|0 comments
20.
by itdxer 11y ago
Usually each library has it's own architecture. This architecture based on some default classes that implements core functionality for models. I already have a chance to check source code for the popular neural network libraries and I
21.
by itdxer 11y ago
There are two main advantage of ASCII approach. The first one is that vectors weight is not very big and you can build relatively small matrix that easy to store and faster to use. The second one is that usual encoding alternatives give a v
22.
by itdxer 11y ago
Thank you for your response. There are would be more interesting projects related to neural networks. And also thank you for detecting this problem with [source] link. I fixed it.
23.
by itdxer 11y ago
It's an interesting idea. But I guess there are would be two main problems. 1. Memory is limited. For this task you need to save a lot of words to make possible use it in applications. To solve this problem you should save words in a h
24.
by itdxer 11y ago
I know that there are some great projects related to neural networks. But they are focused on deep neural networks. Apart from this trend in neural networks there are many other great ideas like Autoassociative memories, learning base on as
25.
Password Recovery Using Discrete Hopfield Neural Network in Python(neupy.com)
56 points by itdxer 11y ago|12 comments