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Results tagged with neural-network
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user 33202
Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.
3
votes
Python encode piano notes in 88 bits - int too large to convert to C long
That seems like a bad way to encode the information. A C chord and a C7 chord would be very different numbers even though they are similar conceptually.
I would take your idea, but instead of smashi …
- 1,932
4
votes
CNN model for more than 3 channels input
A CNN does not care about the starting number of channels. It can be one, three, 20, or anything really. Here's a simple example in the python library Keras for how you might start out a CNN with 20 c …
- 1,932
1
vote
Accepted
Stateful LSTM : Using different training window
I don’t see anything wrong with that. In fact it sounds like a good form of data augmentation.
It does sound like you are training with a batch size of 1, which may be slow. You could think about cr …
- 1,932
1
vote
Accepted
In a neural network with tensor input X, it seems there are times when it will never learn.....
In short
You are waaaaay undertraining. Increase the number of times you show the network your data. I am guessing training may take longer than you expect because typically networks train best with …
- 1,932
1
vote
What type of neural network should I use to detect meteors in images?
A convolutional neural network will almost certainly work well for this problem. A U Net is overkill. You would use that if you need to identify where in the image the meteorite is.
Just make sure y …
- 1,932
7
votes
Accepted
Convnet training error does not decrease
In your convnet code, you compute the cross entropy manually:
cross_entropy = tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(y_conv), reduction_indices=[1]))
train_step = tf.train.AdamOptimizer(1e-5).mi …
- 1,932
2
votes
Accepted
What are the benefits of having ML in js?
There are a lot of services that offer free or very cheap hosting of static websites. If you are able to implement your ML model in JS this allows you to deploy your product/app/whatever easily and wi …
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1
vote
Checkers playing Neural Network evolved with Genetic Algorithm becomes too sensitive to inpu...
Full disclosure, I'm not at all an expert on genetic algorithms, so take this with a grain of salt.
First of all, I'm not sure the $r$ parameter in $w'=w*m'*r$ makes sense. You say it's a random stan …
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