Deep Learning

TensorFlow installation on Docker

TensorFlow is an Open Source software from Google for numerical computation using a graph representation: Vertex (nodes) represent mathematical operations Edges represent N-dimensional data array (tensors) TensorFlow runs on CPU or GPU (using CUDA®). The architecture is flexible and highly scalable. It can be deployed on smartphones, desktop/servers, or even servers cluster. Installation CPU Only [...]

By |2019-08-05T20:26:32+00:00August 5th, 2019|Categories: Container, Data Science, Learning|Tags: , , , , , |0 Comments

Applying Deep Reinforcement Learning to Poker

We will cover the subject of Deep Reinforcement Learning, more specifically the Deep Q Learning algorithm introduced by DeepMind, and then we'll apply a version of this algorithm to the game of Poker. Reinforcement learning Machine Learning and Deep Learning have become a hot topic in the past years. With the recent improvements in parallel [...]

By |2019-03-10T20:12:15+00:00January 9th, 2019|Categories: Data Science, Deep Learning|Tags: , , |1 Comment

Lando: Deep Learning used to summarize conversations

Lando is an application to summarize conversations using Speech To Text to translate the written record of a meeting into text and Deep Learning technics to summarize contents. It allows users to quickly understand the context of the conversation. During the cource of our internship at Adaltas, we worked on a new project called Lando to [...]

Deep learning on YARN: running Tensorflow and friends on Hadoop cluster

With the arrival of Hadoop 3, YARN offer more flexibility in resource management. It is now possible to perform Deep Learning analysis on GPUs with specific development environments, leveraging available resources. This article is a based on the presentation of Wandga Tan, Apache Hadoop PMC menber, at the DataWorks Summit 2018. It mostly focus on [...]

By |2018-07-24T19:43:12+00:00July 24th, 2018|Categories: Data Science, DataWorks Summit 2018|Tags: , , , |0 Comments

TensorFlow on Spark 2.3: The Best of Both Worlds

The integration of TensorFlow With Spark has a lot of potential and creates new opportunities. […]