I come with this post today to announce an interruption to the normal weekly schedule of posts here from The Intelligence of Information and my other Blog Digital Distributed Asset. I had the unfortunate trouble of a serious technical problem with my best PC equipment and this precludes me to best serve these blogs and … Continue reading Interruption of the normal posts scheduling
Sequence to sequence learning with Convolutional Neural networks
A team of researchers from Facebook AI research released an interesting paper about sequence to sequence learning with convolutional neural networks (CNNs). CNNs has been mainly used in computer vision implementations, being a state-of-the-art stack for the the researche and development in object recognition or image recognition. Less often have CNNs been implemented for machine … Continue reading Sequence to sequence learning with Convolutional Neural networks
Blockchain Technology secured by Quantum Mechanics (Digital Distributed Asset)
BLOCKCHAIN TECHNOLOGY SECURED BY QUANTUM MECHANICS Source: Blockchain Technology secured by Quantum Mechanics
How to train, deploy and develop TensorFlow AI Models, SparkML from Jupyter Notebook to production
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? (Digital Distributed Asset)
WHAT IS AN INITIAL COIN OFFERING? Source: What is an Initial Coin Offering?
Success with deep learning architectures, surrogate random matrices and spectral ergodicity
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
PyData London 2017: Bayesian Deep Learning talk by Andrew Rowan
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
The Basic Attention Token (BAT) explanation (Digital Distributed Asset)
Source: The Basic Attention Token (BAT) explanation
Recommender systems with TensorFlow
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
