Lorenzo Benoni

279 Flips | 5 Magazines | 10 Following | 6 Followers | @macheath | undefined

Transfer Learning: Leverage Insights from Big Data

In this tutorial, you’ll see what transfer learning is, what some of its applications are and why it is critical skill as a data scientist.

An Intuitive Introduction to Generative Adversarial Networks

<i>This article was jointly written by Keshav Dhandhania and Arash Delijani, bios below.</i>In this article, I’ll talk about <b>Generative Adversarial Networks</b>, …

PyTorch vs TensorFlow — spotting the difference

The best way to compare two frameworks is to code something up in both of them. I’ve written a companion jupyter notebook for this post and you can …

Introduction to Various Reinforcement Learning Algorithms. Part I (Q-Learning, SARSA, DQN, DDPG)

1. Reinforcement Learning 101<p>Typically, a RL setup is composed of two components, an agent and an environment.<p>Then environment refers to the object …

The Art of Effective Visualization of Multi-dimensional Data

“<b>A picture is worth a thousand words</b>”<p><b>“The greatest value of a picture is when it forces us to notice what we never expected to see.”</b><p>— John Tukey<p>It’s …

Stock Analysis in Python

The benefit of a Python class is that the methods (functions) and the data they act on are associated with the same object. We can use a method of …

WaveNet: A Generative Model for Raw Audio

This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human …

Introduction to Various Reinforcement Learning Algorithms. Part II (TRPO, PPO)

1. Getting Started<p>Definition:<p>Advantage (A): A(s, a) = Q(s, a)- V(s)<p>Advantage is a term that is commonly used in numerous advanced RL algorithms, such …

The Dark Secret at the Heart of AI - MIT Technology Review

Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey. The experimental vehicle, developed by …

Machine Learning

Fooling The Machine

The Byzantine science of deceiving artificial intelligence<p>Fooling The Machine<p>Fooling The Machine<p>By Dave Gershgorn<p>In the early 1900s, Wilhelm von Osten, a German horse trainer and mathematician, told the world that his horse could do math. For years, Von Osten traveled Germany giving demonstrations …

Why Google's Neural Networks Look Like They're on Acid

Robo-tripping with a neural network.<p>Recently, a mysterious photo appeared on Reddit showing a monstrous mutant: an iridescent, multi-headed, slug-like creature covered with melting animal faces. Soon, the image's true origins surfaced, in the form of a blog post by a Google research team. It turned …

University of Wyoming

Were you trying to fool the network?<p>No. We were not trying to produce adversarial, unrecognizable images. Instead, we were trying to produce …

Deep Learning

Simple Pictures That State-of-the-Art AI Still Can't Recognize

Look at these black and yellow bars and tell me what you see. Not much, right? Ask state-of-the-art artificial intelligence the same question, …

Artificial Intelligence

Tricking Neural Networks: Create your own Adversarial Examples

10 Jan 2018 | Daniel Geng and Rishi Veerapaneni<p>Assassination by neural network. Sound crazy? Well, it might happen someday, and not in the way you …

12 Knots Everyone Should Master

<i>Last Updated December, 2017: We’ve updated the formatting on this post for clarity. Links have also been updated.</i><p>Our Go-To: Water Knot<p><b>Climbing</b> …

Welcoming the Era of Deep Neuroevolution

By leveraging neuroevolution to train deep neural networks, Uber AI Labs is developing solutions to solve reinforcement learning problems.The post …

Evolving Simple Organisms using a Genetic Algorithm and Deep Learning from Scratch with Python

<b>TL;DR</b> - Learn how to evolve a population of simple organisms each containing a unique neural network using a genetic algorithm.<p>Introduction<p>A few …

Deep Learning

Making a Predictive Keyboard using Recurrent Neural Networks — TensorFlow for Hackers (Part V)

Can you predict what someone is typing?<p>Welcome to another part of the series. This time we will build a model that predicts the next word (a …

Convolutional Methods for Text

tl;dr<p>RNNS work great for text but convolutions can do it faster<br>• Any part of a sentence can influence the semantics of a word. For that reason we want …

Google's AlphaZero Destroys Stockfish In 100-Game Match

Chess changed forever today. And maybe the rest of the world did, too. A little more than a year after AlphaGo sensationally won against the top Go …

Jaccard Similarity Index for measuring Document Similarity

Jaccard Similarity Index for measuring Document Similarity<p>The Jaccard Similarity Index can be used to represent the similarity between two documents. …

Sequence Modeling with CTC

A visual guide to Connectionist Temporal Classification, an algorithm used to train deep neural networks in speech recognition, handwriting …

Discover Feature Engineering, How to Engineer Features and How to Get Good at It

By onSeptember 26, 2014 in Machine Learning Process<p>Feature engineering is an informal topic, but one that is absolutely known and agreed to be key to …

Web Scraping - It’s Your Civic Duty

IntroductionMore and more information from local, state and federal governments is being placed on the web. However, a lot of the data is not …

Time I

Implementing a CNN for Text Classification in TensorFlow

The full code is available on Github. In this post we will implement a model similar to Kim Yoon’s Convolutional Neural Networks for Sentence …

Deep Learning

Playing the Beer Game Using Reinforcement Learning

The Classical Beer Game<p>The beer game is a widely used in-class game that is played in supply chain management classes to demonstrate a phenomenon …

Understanding LSTM Networks

Posted on August 27, 2015<p>Recurrent Neural Networks<p>Humans don’t start their thinking from scratch every second. As you read this essay, you understand …

Deep Learning

Movie written by algorithm turns out to be hilarious and intense

For Sunspring's exclusive debut on Ars, we talked to the filmmakers about collaborating with an AI.<p>Ars is excited to be hosting this online debut of</i> …

The Unreasonable Effectiveness of Recurrent Neural Networks

There’s something magical about Recurrent Neural Networks (RNNs). I still remember when I trained my first recurrent network for Image Captioning. …