Fork I’ve just published a repository (https://github.com/giuseppebonaccorso/keras_deepdream) with a Jupyter notebook containing a Deepdream (https://github.com/google/deepdream) experiment created with Keras and a pre-trained VGG19 convolutional network. The experiment (which is a work in progress) is based on some suggestions provided by the Deepdream team in this blog post but works in a slightly different way. I use a Gaussian … [Read more…]
After reading the article “How to Learn to Add Numbers with seq2seq Recurrent Neural Networks” by Jason Brownlee (that I suggest reading before going on), I’ve decided to try an experiment with more complex expressions like: -(10+5) or 4+ -2, etc. The code (with some extra information) is published on the GIST: https://goo.gl/ZmH6Tf, where there are … [Read more…]
Fork I’ve just moved my Keras-based Neural Artistic Style Transfer GIST to a dedicated repository: https://github.com/giuseppebonaccorso/Neural_Artistic_Style_Transfer. Please refer always to it because the GIST is not more maintained. The original post is: https://www.bonaccorso.eu/2016/11/13/neural-artistic-style-transfer-experiments-with-keras/
Fork BBC News dataset (available for download in Insight Project Resources website) is made up of 2225 newslines classified into 5 categories (Politics, Sport, Entertainment, Tech, Business) and, similarly to Reuters-21578, it can be adopted in order to test both the efficacy and the efficiency of different classification strategies. In the repository: https://github.com/giuseppebonaccorso/bbc_news_classification_comparison, I’ve committed a Jupyter (IPython) … [Read more…]
Fork Artistic style transfer using neural networks is a technique proposed by Gatys, Ecker and Bethge in the paper: arXiv:1508.06576 [cs.CV] which exploits a trained convolutional network in order to reconstruct the elements of a picture adopting the artistic style of a particular painting. I’ve written a Python program (available in the Github repository: https://github.com/giuseppebonaccorso/Neural_Artistic_Style_Transfer) … [Read more…]
(Updated on July, 24th, 2017 with some improvements and Keras 2 style, but still a work in progress) CIFAR-10 is a small image (32 x 32) dataset made up of 60000 images subdivided into 10 main categories. Check the web page in the reference list in order to have further information about it and download … [Read more…]
In this benchmark, I’ve used a Windows 10 Pro 64 Bit computer with Intel Core i7 6700HQ 2.60 GHz with 32 Gb RAM and NVIDIA GeForce GTX 960M. As a programming environment, I’ve used Python 2.7 (Anaconda distribution) and Jupyter. The task is very simple, integrating this expression (simple but effective): [pmath size=24]int{0}{pi}{sin(x)dx} = 2 … [Read more…]