Yang

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Watch how machine learning can enhance low-light images

At this year's Conference on Computer Vision and Pattern Recognition, researcher Chen Chen presented a cool project that vastly improves the quality …

Machine Learning

Hello tensorflow

<b>Machine Learning (ML)</b> is the dope new thing that everyone’s talking about, because it’s really good at learning from data so that it can predict …

Machine Learning

Dutch national exam quizzes high school students on Bitcoin math

Cryptocurrencies have found a ton of admirers recently, but guess who isn’t loving them right now — Dutch high school students.<p>This year’s VWO examination – a matriculation test high school students are required to take to be eligible to pursue university education in the Netherlands – featured an …

High School

Material Theming is Google’s answer to app designers’ woes

• Material Design is Google’s guide to Android app design, but Material Theming is the tool to actually implement that design.<br>• Google announced Material Theming and its companion site, Material.io, at Google I/O 2018.<br>• Finally, designers will be able to easily work within Material Design right from step …

Android News

Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

<b>Recent Intersections Between Computer Vision and Natural Language Processing (Part One)</b><p>This is the first instalment of our latest publication series …

Deep Learning

Facebook’s Field Guide to Machine Learning video series

<i>The Facebook Field Guide to Machine Learning is a six-part video series developed by the Facebook ads machine learning team. The series shares best</i> …

Machine Learning

An Introduction to Deep Learning for Tabular Data

Written: 29 Apr 2018 by <i>Rachel Thomas</i><p>There is a powerful technique that is winning Kaggle competitions and is widely used at Google (according to Jeff …

Data Science

Nintendo Says It's Not Trying To Innovate, It's "Trying To Find Ways To Make People Happy"

<b>A look behind the curtain.</b>The Guardian recently interviewed Nintendo's own Shinya Takahashi, and the general manager of the Entertainment Planning & …

Nintendo

Every Nintendo Switch Can Be Hacked, And The Tools Just Went Public

This escalated <i>quickly</i>. First a permanent boot exploit was found in the Nintendo Switch allowing hackers to run unsigned code, alongside confident claims that Nintendo is unable to patch the exploit with software or firmware updates. Weeks later, fail0verflow transformed the Switch into a …

Information Security

The Annotated Transformer

The Transformer from “Attention is All You Need” has been on a lot of people’s minds over the last year. Besides producing major improvements in …

Facebook's Zuckerberg Quietly Drops Another Privacy Bomb - Facial Recognition

No one asked Mark Zuckerberg about facial recognition when he visited the US Congress on April 10. He offered it as part of his response to questions about privacy when he said Facebook users should give <i>“affirmative consent”</i>when it comes to <i>“technologies like facial recognition.”</i> So why did he …

Artificial Intelligence

Why I Decided to Build Bitcoin from Scratch

I first heard about Bitcoin at my first programming job at a machine learning startup. A co-worker who was of the tinfoil hat type (the kind that</b> …

25 Open Datasets for Deep Learning Every Data Scientist Must Work With

Introduction<p>The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image …

Deep Learning

ShopTalk: Heuritech Uses Artificial Intelligence To Predict Fashion Trends From Millions Of Images

At the ShopTalk conference in Las Vegas this week, billed as the world’s largest conference for retail and e-commerce innovation, fashion tech startup Heuritech launched the world’s first artificial intelligence (AI) service that can predict fashion trends based on the analysis of millions of …

Artificial Intelligence

Advanced Machine Learning

Overview and objective<p>The aim of machine learning is to extract knowledge from data. The algorithm may be informed by incorporating prior knowledge …

Splash of Color: Instance Segmentation with Mask R-CNN and TensorFlow

Explained by building a color splash filter<p>Back in November, we open-sourced our implementation of Mask R-CNN, and since then it’s been forked 1400 …

Variational autoencoders.

In my introductory post on autoencoders, I discussed various models (undercomplete, sparse, denoising, contractive) which take data as input and …

Training Object Detection (YOLOv2) from scratch using Cyclic Learning Rates

Object detection is the task of identifying all objects in an image along with their class label and bounding boxes. It is a challenging computer …

Deep Learning

Automated front-end development using deep learning

Creating intuitive and engaging experiences for users is a critical goal for companies of <i>all</i> sizes, and it’s a process driven by quick cycles of …

🎉 Supervisely v2.0: supercharge your training data pipeline with Deep Learning

Supervisely helps companies, researchers, engineers, students, and many others make and prepare training data for various number of computer vision …

Learning to Trade with Reinforcement Learning

<i>Thanks a lot to @aerinykim, @suzatweet and @hardmaru for the useful feedback!</i><p>The academic Deep Learning research community has largely stayed away …

[1802.06474] A Closed-form Solution to Photorealistic Image Stylization

Computer Science > Computer Vision and Pattern Recognition<p>Title: A Closed-form Solution to Photorealistic Image Stylization<p>Abstract: Photorealistic …

New Deep Learning Techniques (Schedule)

Programs<p>Long Programs<br>• Workshops<br>• Public Lectures<br>• Special Events and Conferences<br>• Student Research Programs<br>• Summer Schools<br>• Propose a …

Top 5 Data Science Machine Learning Repositories on GitHub in Jan 2018

Introduction<p>Breakthroughs in data science and machine learning are happening at a break-neck pace. If you are working in this field, it’s extremely …

Neural network AI is simple. So… Stop pretending you are a genius

This post may come off as a rant, but that’s not so much its intent, as it is to point out why we went from having very few AI experts, to having so …

Deep Learning

Berkeley AI Materials

Project 3: Reinforcement Learning<p>Version 1.001. Last Updated: 08/26/2014.<p>Table of Contents<p>Introduction<br>• Welcome<br>• Q1: Value Iteration<br>• Q2: Bridge Crossing …

Machine Learning

The 5 Clustering Algorithms Data Scientists Need to Know

Clustering is a Machine Learning technique that involves the grouping of data points. Given a set of data points, we can use a clustering algorithm …

PyTorch, a year in....

Today marks 1 year since PyTorch was released publicly. It’s been a wild ride — our quest to build a flexible deep learning research platform. Over …

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>, …

Deep Learning

How To Create Data Products That Are Magical Using Sequence-to-Sequence Models

<i>A tutorial on how to summarize text and generate features from</i> <i>Github Issues</i> <i>using deep learning with</i> <i>Keras</i> <i>and</i> <i>TensorFlow</i><i>.</i><p><b>Teaser: Training a model to</b> …