42: A blog on A.I.

About

This blog is an attempt to document some of my A.I. related side projects. I'm mostly writing it for personal reference, so it requires that the reader is at least a bit familiar with machine/deep learning concepts. That is, it is not indended to be a list of detailed entries for machine learning 101, but rather a (hopefully) fun collection of interesting stories. There are many blogs/websites/lectures online that aim to teach machine learning, so there's no point in doing it all over again here. Needless to say my interests lie in A.I. related topics. Web-design is not one of those topics, so the layout of this website will be rather minimal (markdown to html).

Index

• 2019/11/22: Image-to-image translation with a pix2pix GAN and Keras.
• 2019/10/30: Image segmentation with Monte Carlo Dropout UNET and Keras.
• 2018/08/15: Timeseries forecasting for M.L practitioners (and why you should probably use Random Forests for it)
• 2018/07/28: Deep learning for image captioning: Should RNNs be blind?
• 2017/08/10: Applying Dropout in Convolutional Neural Nets: Where and to what extent?
• 2017/07/22: Deep or Wide RNNs? Let's generate new Sherlock Holmes stories and find out.
• 2012, Winter: Teaching a computer to play blackjack with reinforcement learning (old project, in Greek).