100
votes
Crack CAPTCHA using deep learning
Here is one example using a convolutional neural network (CNN) to crack the CAPTCHA. We will use a CAPTCHA library to generate sample CAPTCHA images and then train a neural network to decode these ...
- 27.4k
59
votes
Object detection and localization using neural network
Introduction
An object detection problem can be approached as either a classification problem or a regression problem. As a classification problem, the image is divided into small patches, each of ...
- 27.4k
42
votes
Accepted
How do you make a Neural Net?
The most basic neural nets are just a DotCross layer and some layer that provides nonlinearity. I recommend starting with that. This is essentially what you see in textbooks. You can see examples like ...
- 4,404
41
votes
Accepted
Mathematica command that allows it to read my intentions
Indeed, this functionality still exists, but it has been moved into its own package.
Load the package:
Needs["aBetterProgrammer`"]
You will have access to such ...
37
votes
Accepted
RNN in Mathematica?
This is actually a useful question, because it gives an opportunity for us to communicate with the community about what is coming, so we can get feedback. So here is some preliminary information about ...
- 10.6k
37
votes
Q&A Mathematica v.11 Neural Networks: A comprehensive look at Layers, Net Functions, and pioneering into this [[experimental]] code
Thank you for your summary. I would like to clarify and correct a few of your points.
however, Mathematica - being proprietary - does not make it clear as to which algorithms they choose to use to ...
- 3,479
32
votes
Accepted
Neural Networks: Does Mathematica (v11) experimental code support state-of-art Models?
Mathematica's neural network functionality is based on MXNET. So you can use pre-trained models for MXNET or create and train state-of-the-art models with NetGraph.
...
- 9,486
30
votes
Accepted
Generative Adversarial Network
I wrestled with this for a while and got some kind of results, but nowhere near the great performance for which GANs are famous. Ultimately, they're absurdly sensitive to hyperparameters and ...
- 1,128
27
votes
How do you make a Neural Net?
From A comprhensive overview of network layers and functions
Motivation
As Mathematica v.11 was released earlier this month with a host of new [[experimental]] functions and a limited number of ...
- 5,362
27
votes
How to export an MXNet?
It seems the model file in MXNet (checkpoint) is defined by two files: a ".json" file and a ".params" file. The json file contains the definition of the network, and the params file contains the ...
- 27.4k
26
votes
Accepted
Generalized Backpropagation for Neural Networks (e.g. DeepDream)
Sebastian mentioned in his answer that deepdream can be possible using NetDerivative. Here are my attempts following his outlines.
Instead of using the inception ...
- 27.4k
24
votes
Mathematica command that allows it to read my intentions
Since version 11 most commands finally support the Interpretation option: Interpretation -> "Literal" being the classical (...
24
votes
Mathematica command that allows it to read my intentions
I tend to use a pattern matching approach:
myCode/.{x_?BugQ:>BugStrip[x],x_?TypoQ:>Detypo[x],x_?WrongSignQ:>-x,x_?OffBy2PiQ:>x*2\[Pi]}
With the usual ...
23
votes
Neural network illustrations
Below is given a function definition that can be used to make a neural network plot with formulae and activation functions graphics. The code/plot can be garnished some more, but at this point I find ...
- 37.5k
22
votes
Neural Networks: Does Mathematica (v11) experimental code support state-of-art Models?
Bring in pre-trained models is sometimes very useful. Alexey's answer is somewhat brief, here I'm trying to add some examples hopefully will be helpful.
We can load the trained network by
...
- 27.4k
21
votes
Generalized Backpropagation for Neural Networks (e.g. DeepDream)
If you have an inception model, its mostly possible using hidden functionality (but without GPU training). The steps would look like this:
Cut the inception model at some level using ...
- 3,479
21
votes
Accepted
How to monitor the process of Neural Network Learning
You can pass the undocumented option "ShowTrainingProgress" -> False to turn off the training progress blob thing.
As for monitoring the progress yourself, ...
- 10.6k
21
votes
21
votes
Mathematica command that allows it to read my intentions
This function was deprecated in V4.2, being succeeded by CellularAutomaton.
Since your answer is hidden somewhere in rules like 110, why reinvent the wheel with <...
20
votes
Accepted
Using a Convolutional Neural Network for time series classification
Here's the code. What I mentioned in the Q&A session is using ReshapeLayer to turn the input vector into a 1-channel, flat tensor that ConvolutionLayer can operate on, not to actually use images, ...
- 10.6k
20
votes
Accepted
Convert List of Associations into Association of Lists
You can use the undocumented AllowedHeads option of Transpose to do this:
...
- 130k
19
votes
Q&A Mathematica v.11 Neural Networks: A comprehensive look at Layers, Net Functions, and pioneering into this [[experimental]] code
Layers
BatchNormalizationLayer
There are several layers introduced in v.11 that can not be used uninitialized, this is one of them. Input must be either a rank 1 or rank 3 tensor. To be honest, I do ...
- 5,362
19
votes
Accepted
Recurrent neural network in 11.1 explicit examples?
Here is a simple example that may help you get started. In this example, we are going to a predict a simple time series of a sinusoid wave.
...
- 27.4k
18
votes
Accepted
How do I configure the input and output layers of a neural network?
I think it would be simpler to construct the simple neural network rather than setting the properties in Classify. Here is an example using a three-layer net to ...
- 27.4k
18
votes
Neural Network for polynomial fit
... however in Mathematica the net always performs a linear fit, no matter how many layers und neurons I use.
I'm guessing you're using only DotPlusLayers. These ...
- 36k
18
votes
Accepted
Importing a grid of numbers from an image (sudoku like)
1 - Summary of a simple solution
In this particular DIGIT case there is a very simple solution based on neural nets (NNs)trained on MNIST Data. It is just a few lines of code:
...
- 71.8k
17
votes
Generative Adversarial Network
Yes it is possible. You can do alternating training manually by literally following the algorithm, so that you have a Do loop whose body contains two calls to NetTrain, but that suffers from overhead ...
- 10.6k
17
votes
Accepted
How to use Mathematica to train a network Using out of core classification?
Okay here's how you do out-of-core training with HDF5:
...
- 10.6k
17
votes
Can we implement a Neural Network interactively?
Update:
So after adding the missing features I decided to give your actual problem a go. This is what I have:
You'll note a little "Add Layer" ActionMenu ...
- 46.6k
17
votes
Neural network illustrations
A bit different function that always places vertices symmetrically:
...
- 71.8k
Only top scored, non community-wiki answers of a minimum length are eligible