This ICLR 2018 accepted paper, Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments, addresses the use of meta-learning to…
The paper, Parameter space noise for exploration proposes parameter space noise as an efficient solution for exploration, a big problem…
Python has become a big hit in the Data Science community over the last five years. So much so that…
[box type="note" align="" class="" width=""]This article is an excerpt taken from a book Neural Network Programming with Java Second Edition…
[box type="note" align="" class="" width=""]This article has been extracted from the book Principles of Data Science authored by Sinan Ozdemir.…
[box type="note" align="" class="" width=""]We have come to you with another guest post by Indra den Bakker, an experienced deep…
[box type="note" align="" class="" width=""]This article is an excerpt from a book written by Alberto Boschetti and Luca Massaron, titled…
[box type="note" align="" class="" width=""]This article is an excerpt from a book written by Alberto Boschetti and Luca Massaron, titled…
What really excites me about data science and by extension machine learning is the sheer number of possibilities! You can…
[box type="note" align="" class="" width=""]The following extract is taken from the book Deep Learning with Keras, co-authored by Antonio Gulli…