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The Asimov Institute - The Asimov Institute

We develop deep learning technology for artificial creativity and constraining artificial systems.

http://www.asimovinstitute.org/

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The Asimov Institute - The Asimov Institute | asimovinstitute.org Reviews

https://asimovinstitute.org

We develop deep learning technology for artificial creativity and constraining artificial systems.

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Artistic Style Transfer Blending - The Asimov Institute

http://www.asimovinstitute.org/artistic-style-transfer-blending

Artistic Style Transfer Blending. July 31, 2016. By Fjodor van Veen. These are some of the input images we used for the various style combinations:. We used three style permutations, each style being a compound of two input images. We tested each combined style on these three different images:. And here are some of the results after 200 iterations:. A Quick Guide to Installing TensorFlow on mac OS. The Neural Network Zoo. For Artificial Creativity and Constraint. October 5, 2016. The Neural Network Zoo.

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News - The Asimov Institute

http://www.asimovinstitute.org/news

For Artificial Creativity and Constraint. Analyzing Six Deep Learning Tools for Music Generation. October 5, 2016. The Neural Network Zoo. September 14, 2016. Artistic Style Transfer Blending. July 31, 2016. A Quick Guide to Installing TensorFlow on mac OS. June 15, 2016. 2017, The Asimov Institute. Proudly powered by WordPress. Theme: Yuuta by Felix Dorner.

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Team - The Asimov Institute

http://www.asimovinstitute.org/team

Researcher and Music Creator. For Artificial Creativity and Constraint. Analyzing Six Deep Learning Tools for Music Generation. October 5, 2016. The Neural Network Zoo. September 14, 2016. Artistic Style Transfer Blending. July 31, 2016. A Quick Guide to Installing TensorFlow on mac OS. June 15, 2016. 2017, The Asimov Institute. Proudly powered by WordPress. Theme: Yuuta by Felix Dorner.

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Analyzing Six Deep Learning Tools for Music Generation - The Asimov Institute

http://www.asimovinstitute.org/analyzing-deep-learning-tools-music

Analyzing Six Deep Learning Tools for Music Generation. October 5, 2016. October 7, 2016. Magenta is Google’s open source deep learning music project. They aim to use machine learning to generate compelling music. The project went open source in June 2016 and currently implements a regular RNN. And two LSTM’s. The piece below is generated by Magenta from the 8th note onward. Here they use their attention model with the provided pre-trained bundle. While it can handle chords, it converts the jazz midi to ...

5

The Neural Network Zoo - The Asimov Institute

http://www.asimovinstitute.org/neural-network-zoo

The Neural Network Zoo. September 14, 2016. October 28, 2016. By Fjodor van Veen. With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone? Can be a bit overwhelming at first. For each of the architectures depicted in the picture, I wrote a. Feed forward neural networks (FF or FFNN) and perceptrons (P). Radial basis function (RBF). Broomhead, David S., and David Lowe. R...Hopfi...

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The Asimov Institute - The Asimov Institute

We are an artificial intelligence research company that uses deep learning to develop tools for the creative industry –. Architects, graphic designers, fashion couturiers, marketeers and music producers. Novelty is becoming a valuable asset in a growing number of industries. Our neural networks generate new products, content, suggestions, styles and ideas. Researcher and Music Creator. Ung and exciting field. Collaborate with us for new prototypes and demo’s. Europalaan 20, 3526 KS Utrecht. July 31, 2016.

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