<p>Not familiar with RBF but when you have a small data set image augmentation can help. You can do this easily with the Keras ImageDataGenerator, documentation is <a href="https://keras.io/preprocessing/image/" rel="nofollow noreferrer">here</a>. Alternatively you can create image augmentation yourself using image processing models like PIL or CV2.</p>

CC BY-SA 4.0
2020-04-27T07:44:57.380Z
2020-04-27T07:44:57.380Z
Gerry P
<p>I'm a computer engineering student and I'm about to work on my master thesis. My professor gave me a small dataset with brain Computed Axial Tomography records. I would like to use deep learning to help doctors diagnose a certain disease (obviously, I've also got the data for doing supervised learning). </p>

<p>Since the dataset is small, is <a href="https://en.wikipedia.org/wiki/Radial_basis_function_network" rel="nofollow noreferrer">radial basis function network</a> a good solution? What do you think?</p>

<p>Btw, if you have any type of tips in using the RBF network for this kind of project I would be really grateful.</p>

<neural-networks><machine-learning><deep-learning><supervised-learning>
Is radial basis function network appropriate for small datasets?
AleWolf
# Is radial basis function network appropriate for small datasets?

(Asked by: username_0 on 2020-04-24)

I'm a computer engineering student and I'm about to work on my master thesis. My professor gave me a small dataset with brain Computed Axial Tomography records. I would like to use deep learning to help doctors diagnose a certain disease (obviously, I've also got the data for doing supervised learning).

Since the dataset is small, is [radial basis function network](https://en.wikipedia.org/wiki/Radial_basis_function_network) a good solution? What do you think?

Btw, if you have any type of tips in using the RBF network for this kind of project I would be really grateful.

**Tags:** neural-networks, machine-learning, deep-learning, supervised-learning


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## 1 answers

### Answer by username_1 on 2020-04-27. Score: 1 | Accepted answer

Not familiar with RBF but when you have a small data set image augmentation can help. You can do this easily with the Keras ImageDataGenerator, documentation is [here](https://keras.io/preprocessing/image/). Alternatively you can create image augmentation yourself using image processing models like PIL or CV2.


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