Subscribe to DSC Newsletter

Andrea Manero-Bastin's Blog – September 2019 Archive (6)

A Comprehensive Guide to Stochastic Gradient Descent Algorithms

This article was written by Giuseppe Bonaccorso.

 

Stochastic Gradient Descent (SGD) is a very powerful technique, currently employed to optimize all deep learning models. However, the vanilla algorithm has many limitations, in particular when the system is ill-conditioned and could never find the global minimum. In this post, we’re going to analyze how it…

Continue

Added by Andrea Manero-Bastin on September 30, 2019 at 3:00am — No Comments

Using Machine Learning to Solve Business Problems

This article was written by Soft Media Lab.

It has the following sections.

Contents

  • What is Machine Learning?
  • How to apply machine learning to…
Continue

Added by Andrea Manero-Bastin on September 24, 2019 at 6:30am — No Comments

Attacks against machine learning — an overview

This article was written by Elie Bursztein.

 

This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against them.

At a high level, attacks against classifiers can be broken down into three types:

  • Adversarial inputs, which are specially crafted inputs that have been developed with the aim of…
Continue

Added by Andrea Manero-Bastin on September 24, 2019 at 2:30am — No Comments

The simplest explanation of machine learning you’ll ever read

This article was written by Cassie Kozyrkov.

 

You’ve probably heard of machine learning and artificial intelligence, but are you sure you know what they are? If you’re struggling to make sense of them, you’re not alone. There’s a lot of buzz that makes it hard to tell what’s science and what’s science fiction. Starting with the names…

Continue

Added by Andrea Manero-Bastin on September 21, 2019 at 9:00am — No Comments

Introduction to Various Reinforcement Learning Algorithms

This article was written by Steeve Huang.

 

Reinforcement Learning (RL) refers to a kind of Machine Learning method in which the agent receives a delayed reward in the next time step to evaluate its previous action. It was mostly used in games (e.g. Atari, Mario), with performance on par with or even exceeding humans. Recently, as the algorithm evolves with the combination of Neural Networks, it is capable…

Continue

Added by Andrea Manero-Bastin on September 9, 2019 at 12:30am — No Comments

Google researchers created an amazing scene-rendering AI - A neural network from Google's DeepMind has impressive spatial reasoning skills

This article was written by Timothy B. Lee.

 

New research from Google's UK-based DeepMind subsidiary demonstrates that deep neural networks have a remarkable capacity to understand a scene, represent it in a compact format, and then "imagine" what the same scene would look like from a perspective the network hasn't seen…

Continue

Added by Andrea Manero-Bastin on September 9, 2019 at 12:30am — No Comments

Videos

  • Add Videos
  • View All

© 2020   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service