This documentation is for sklearn-theano version 0.0.1 — Other versions
If you are reading this, thanks for using sklearn-theano.
These are general purpose examples which show a few of the capabilities and intended uses of sklearn-theano.
sklearn-theano
Generative networks for random CIFAR images¶
This demo of a CIFAR generator is based on the work of I. Goodfellow, J. Pouget-Abadie, M. Mirz...
Generative networks for random MNIST digits¶
This demo of an MNIST generator is based on the work of I. Goodfellow, J. Pouget-Abadie, M. Mir...
Drawing bounding boxes for localization¶
Drawing a bounding box on a detected object is crucial to properly finding objects in images. O...
Classification and top N prediction probabilities¶
In this example, an image is input to an OverfeatClassifier, and the top N probability outputs ...
Asirra dataset classification using transformer¶
This example shows a basic use of the OverfeatTransformer in a scikit-learn pipeline in order t...
Comparison of GoogLeNet and Overfeat Classifiers¶
In this example, an image is input to an OverfeatClassifier and a GoogLeNetClassifier, and the ...
Localizing multiple objects in an image¶
Extending on the ``plot_localization_tutorial`` example, there are more advanced ways to search...
Visualization of first layer filters¶
The first layers of convolutional neural networks often have very "human interpretable" values,...
Localizing an object in a large image¶
Convolutional neural networks can also be used to localize an object in a large image. This exa...