%0 Generic %1 giannini2017neural %A Giannini, Francesco %A Laveglia, Vincenzo %A Rossi, Alessandro %A Zanca, Dario %A Zugarini, Andrea %D 2017 %K 2017 arxiv deep-learning matlab neural-networks tensorflow torch tutorial %T Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow %U http://arxiv.org/abs/1703.05298 %X This report provides an introduction to some Machine Learning tools within the most common development environments. It mainly focuses on practical problems, skipping any theoretical introduction. It is oriented to both students trying to approach Machine Learning and experts looking for new frameworks.

@misc{giannini2017neural, abstract = {This report provides an introduction to some Machine Learning tools within the most common development environments. It mainly focuses on practical problems, skipping any theoretical introduction. It is oriented to both students trying to approach Machine Learning and experts looking for new frameworks.}, added-at = {2018-04-06T06:02:52.000+0200}, author = {Giannini, Francesco and Laveglia, Vincenzo and Rossi, Alessandro and Zanca, Dario and Zugarini, Andrea}, biburl = {https://www.bibsonomy.org/bibtex/2870d84f151b6eef0ec032dc145f094b5/achakraborty}, description = {[1703.05298] Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow}, interhash = {4c8d9cdfe18b13651a382ab723e77e17}, intrahash = {870d84f151b6eef0ec032dc145f094b5}, keywords = {2017 arxiv deep-learning matlab neural-networks tensorflow torch tutorial}, note = {cite arxiv:1703.05298}, timestamp = {2018-04-06T06:02:52.000+0200}, title = {Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow}, url = {http://arxiv.org/abs/1703.05298}, year = 2017 }