A library for [Keras](https://keras.io/) for investigating architectures and parameters of sequential models.

**(discontinuted)** For more general approaches, see: [Simple diagrams of convoluted neural networks](https://medium.com/inbrowserai/simple-diagrams-of-convoluted-neural-networks-39c097d2925b)

Both `model.summary()` and graph export were not enough - I wanted array dimensions, numbers of parameters and activation functions in one place.

I use it for didactic purpose.

* [Starting deep learning hands-on: image classification on CIFAR-10](https://blog.deepsense.ai/deep-learning-hands-on-image-classification/) - my post at deepsense.ai

* [Cifar-10 Classification using Keras Tutorial](https://blog.plon.io/tutorials/cifar-10-classification-using-keras-tutorial/) at Plon.io

From PyPI: