Primeros pasos en Keras

2017-11-11T16:05:36+00:00 June 20th, 2017|

Keras es una librería de Python que proporciona de manera limpia y sencilla la creación de una gama de modelos de Deep Learning encima de otras librerías TensorFlow, Theano o CNTK. Keras fue desarrollado y es mantenido por François Chollet, un ingeniero de Google, y su código ha sido liberado bajo la licencia permisiva del MIT. Características básicas de Keras (*) Desconozco si fue la intención de François Chollet, pero personalmente valoro la austeridad y simplicidad que presenta este modelo de programación, sin adornos y maximizando la legibilidad. Permite expresar redes neuronales de una manera muy modular, considerando un modelo como una secuencia o un solo grafo. Una buena aproximación, a mi entender, porque los componentes de un modelo de Deep Learning son elementos discretos que [...]

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 [...]

TensorFlow counterattacks to Caffe2

2017-08-08T14:04:49+00:00 May 4th, 2017|

Few days ago appeared Caffe2 as a new player on the scene of Deep Learning frameworks with impressive performance scaling results on DGX-1. Tonight, Tensorflow shown the same numbers and the GitHub code to prove it yourself: My last post finished with this Q&A: "Will Caffe2 steal the supremacy that TensorFlow has right now? I do not have a crystal ball. My opinion is that It seems not easy, but it is the only one that could be a competitor for Google especially in the production arena in companies. We will see it soon, because Facebook has to hurry, the window of time to get it will be very small." Let me add: The window is about to close if Facebook does not work fast and hard!   UPDATE 9-May (thanks to Maurici Yagües): https://twitter.com/soumithchintala/status/861944937100722176  :-)       [...]

Caffe2: A new player on the scene of Deep Learning frameworks

2017-08-17T16:34:41+00:00 April 25th, 2017|

Few days ago Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. They say that Caffe2 is the successor to Caffe ( really?), the deep learning framework developed by Berkeley AI Research and community contributors. Caffe2’s GitHub page describes it as “an experimental refactoring of Caffe that allows a more flexible way to organize computation.” As my readers know, when appeared TensorFlow I decided to pay attention to it because it could change the scene of DL/AI frameworks. Now, we are in the same situation, Caffe2 could change the current scene that Francesc Sastre, one of my master students,  build for his master thesis:  "Frameworks popularity evolution in GitHub" No questions, right? Facebook launched Caffe2, an open-source deep learning framework made with expression, speed, and modularity in mind. It address the bottlenecks observed [...]

Conferència sobre Supercomputació i Intel.ligència Artificial

2017-11-11T16:14:22+00:00 December 13th, 2016|

Avui he fet una conferència sobre la importància de la Supercomputació en l'àrea d'Intel·ligència Artificial com a keynote en el # 27 CO-SESSIÓ INTEL·LIGÈNCIA ARTIFICIAL EN BUSINES, esdeveniment organitzat per la co-society. Adjunt, trobaran les diapositives de la conferència. En el passat, moltes empreses haurien desitjat haver començat a pensar abans sobre la seva estratègia a Internet. Crec que en pocs anys passarà el mateix, hi haurà un nombre d'empreses que desitjaran haver començat a pensar abans sobre la seva estratègia en Intel.ligència Artificial. Espero que la seva no sigui una d'aquestes empreses.   The importance of Supercomputing in Artificial Intelligence from Barcelona Tech UPC - Barcelona Supercomputer Center BSC

The importance of Supercomputing in Artificial Intelligence

2017-08-08T20:22:51+00:00 December 13th, 2016|

Today I gave a talk about the importance of Supercomputing in the area of Artificial Intelligence as keynote at  #27 CO-SESSION ARTIFICIAL INTELLIGENCE IN BUSINES event organised by co-society. Attached  you will find the slides of today's talk. In the past, a lot of companies wished they had started thinking earlier about their Internet strategy. I think in a few years from now there will be a number of companies that wish they had started thinking earlier about their AI strategy. I hope that you are not one of these companies.   The importance of Supercomputing in Artificial Intelligence from Barcelona Tech UPC - Barcelona Supercomputer Center BSC

CaixaBank y el BSC investigarán la aplicación de la computación cognitiva a la innovación financiera

2017-08-08T22:41:42+00:00 May 7th, 2016|

Esta semana en el BSC-CNS hemos podido materializar un primer acuerdo de colaboración con CaixaBank para promover conjuntamente el desarrollo de sistemas High-Performance Big-Data Analytics basados en Deep Learning para mejorar el servicio a sus clientes y optimizar la eficiencia operativa en sus servicios bancarios. Estoy extremadamente contento, es mi primer proyecto gestionado con mi rol de Senior Innovation Advisor del BSC-CNS. Espero contarles desde este blog futuros avances en los que podamos ganar todos. De momento más detalle lo pueden encontrar en nuestra nota de prensa.