Machine Learning and Chemoinformatics

Mar

The process of expanding an otherwise limited dataset in order to more efficiently train a neural network is known as Data Augmentation For images there have been used a variety of techniques, such as flipping, rotation, sub-segmenting and cropping, zooming. The mirror image of a cat is ...

Nov

Neural Networks are interesting algorithms, but sometimes also a bit spooky. In this blog post I explore the possibilities for teaching the neural networks to generate completely novel drug like molecules. I have experimented for some time with recurrent neural networks with the LSTM architecture. In short, recurrent neural networks differ from more traditional feed forward neural networks because they do ...