Today I would like to post a more technical and pure engineering topic. The heart of the matter in Artificial Intelligence(AI) is more practical/empirical based than theoretical. Even though the conceptual framework is undoubtedly important. But to get a good grasp of the real work involved in setting up all the apparatus for a … Continue reading How to train, deploy and develop TensorFlow AI Models, SparkML from Jupyter Notebook to production
WHAT IS AN INITIAL COIN OFFERING? Source: What is an Initial Coin Offering?
From now and then I just wonder how good my social media connections really are. Often crossed my mind that social media is more noise than signal, real good signals of the best we can be and do as human beings. There is a lot of not that good about what human beings should be … Continue reading Success with deep learning architectures, surrogate random matrices and spectral ergodicity
Today I could not but come back again to PyData London 2017 series of YouTube videos. That is because the field of Bayesian Deep Learning continues to make its strides forward, but also because the quality of the research, researchers and speakers on the subject deserves mine and yours attention, please... 😊 This time the culprit … Continue reading PyData London 2017: Bayesian Deep Learning talk by Andrew Rowan
Source: The Basic Attention Token (BAT) explanation
Guillaume Allain gave an interesting talk at the recent PyData London 2017 event. It was about the implementation of recommender systems using TensorFlow. The talk is shared in the YouTube video below. I recommend the reader to also fork the GitHub pull request/repository Tensorflow-based Recommendation systems, where a detailed description of this developement is available as well as all … Continue reading Recommender systems with TensorFlow
I am coming back to reviewing a paper that I deem relevant or with some probable line of further research that may prove worth to pursue in the future about deep neural networks. I was parsing one of O'Reilly Artificial Intelligence latest newsletter, and I found the paper below about ensembles of neural networks. It … Continue reading Ensembles of Neural Networks: Train 1, get M for free
It has been a while after I reviewed my last paper here for The Intelligence of Information. I've been posting YouTube videos with my own comments and interpretations of what I see and hear, and as a matter of fact it has been rewarding and a somewhat more interactive way to present the topics this … Continue reading Generalization and Equilibrium in Generative Adversarial Nets (GANs) – a talk by Sanjeev Arora
WHAT IS THE GOLEM PROJECT ? Source: What is The Golem Project ?