First contact with Keras

2017-10-11T09:24:42+00:00 June 18th, 2017|

. . Keras is a Python library that provides a clean and convenient way to create a range of deep learning models on top of  powerful libraries such as TensorFlow, Theano (update about Theano) or CNTK. Keras was developed and maintained by François Chollet, a Google engineer and it is released under the permissive MIT license. Basic features of Keras (*) I value his austerity and simplicity, without frills approach and maximizing readability. It makes it possible to express neural networks in a very modular way, considering a model as a sequence or a graph alone. A good approximation for beginners, because the components of a Keras model are discrete elements that can be combined in arbitrary ways. New components are intentionally easy to add and modify within [...]

Learning Bayesian Networks and Neural Networks in Madrid

2017-08-09T12:19:39+00:00 July 8th, 2015|

Due research in my group requires incorporate knowledge of Machine Learning, for some time I have been getting in this discipline thanks to Ricard Gavaldà, among others colleagues. Right now I was looking for a more specific training course on Neural Networks and Bayesian Networks. Thanks to Jesús Cerquides, co-advisor of our PhD Student Joan Capdevila, I discovered the “Advanced Statistics and Data Mining Summer School” and I decided take 2 courses. This summer school is organized by the Artificial Intelligence Department  of the School of Computer Science at Univ. Politécnica de Madrid (This year they celebrate its 10th edition). I would like to thank the organisers for this great and useful summer school. I was impressed by the lecturers and the practical parts in both courses. I learned a [...]

Barcelona Supercomputing Center starts to work on Deep Learning

2017-08-09T12:29:27+00:00 June 26th, 2014|

What is Deep Learning? We can consider Deep Learning as a new area of Machine Learning research with the objective of moving Machine Learning closer to Artificial Intelligence (one of its original goals).  Our research group has been working in Machine Learning for a long time thanks to Ricard Gavaldà who introduced us in this wonderful world. It was during the summer of 2006, also with Toni Moreno, Josep Ll. Berral, Nico Poggi. Unforgettable moments! However, after 8 years we will make a step forward and start to work with Deep Learning. It was during a group retreat held last September when I realise that "Deep Learning"  was an interesting topic thank you to  Jordi Nin. Deep Learning comes from Neural nets conceived in the 1940s, inspired by the [...]