PerceptiLabs

Machine Learning

Five GANs for Better Image Processing

Machine learning practitioners are increasingly turning to the power of generative adversarial networks (GANs) for image processing. Applications that really benefit from using GANs include: generating art and photos from

Machine Learning

Don’t Start your Model from Scratch - Use Transfer Learning

Did you ever wish you could use one of your existing models as a starting point to solve a similar problem? Then you might want to try Transfer Learning. Transfer

Top Five Ways That Machine Learning is Being Used for Image Processing and Computer Vision

The field of digital image processing is increasingly shifting from deterministic mathematical calculations and statistical methods, to machine learning (ML)-based approaches which can provide better and more accurate results.

Machine Learning

Recreating Nvidia’s PilotNet in PerceptiLabs

Computer Vision is a key technology for building algorithms to enable self-driving cars. One of the pioneering projects in this field was an experimental system called PilotNet by Nvidia. It

What’s next? Machine Learning 2021

Ah 2020!  From global healthcare issues to revolutions in how technology is being adopted and even repurposed, it has been quite a year. At the end of each year, it's

Machine Learning

Going Beyond the Repo: How Contributing to GitHub can Help Your Career Growth in Machine Learning

Version control tools have long been a staple for information workers, especially developers who need a place to store and collaborate on their code base, while maintaining a complete history

Machine Learning

Live Coding: TensorFlow vs. PerceptiLabs: Who has more Flower Power

Ever wondered how PerceptiLabs' visual approach compares to writing TensorFlow code? Recently, Robert Lundberg, CTO and Co-Founder of PerceptiLabs, gave a live coding  demonstration to show just that, using TensorFlow’

Transparency

An Overview of TensorFlow and how PerceptiLabs Makes it Easier

In A New Visual Approach to Machine Learning Modeling, we talked about how TensorFlow is one of the most popular machine learning (ML) framework today, but it’s not necessarily

Machine Learning

Today's Top Four Machine Learning Modeling Challenges and how PerceptiLabs Solves Them

Machine learning (ML) modeling is challenging – we know from experience! From wrangling data to choosing an appropriate ML algorithm, and then debugging and iterating on it, it can be a

Machine Learning

Using ResNets to Detect Anomalies in Industrial IoT Textile Production

Machine learning models for image classification often use convolutional neural networks (CNNs) to extract features from images while employing max-pooling layers to reduce dimensionality. The goal is to extract increasingly

Transparency

A New Visual Approach to Machine Learning Modeling

Machine learning (ML) tools are exploding and specializing, giving users the option to build and manage their ML models in different ways ranging from writing code, relying on frameworks to

Machine Learning

Venture Beat: Getting inside the head of a machine learning scientist

We were excited to be featured in Venture Beat, in their Article titled: Getting inside the head of a machine learning scientist. Check it out to see how PerceptiLabs allows

Machine Learning

Announcing PerceptiLabs' October 2020 Silver 0.11 Release

PerceptiLabs is proud to announce the first major Silver release of our visual machine learning (ML) modeling tool, PerceptiLabs 0.11. Not only does this release candidate include a number

Machine Learning

Exploring Generative Adversarial Networks (GANs)

A generative adversarial network (GAN) is a powerful approach to machine learning (ML). At a high level, a GAN is simply two neural networks that feed into each other. One

Transparency

Join us at Red Hat's AI/ML: Smart apps, easy delivery, fast platform webinar series

https://www.brighttalk.com/webinar/build-a-machine-learning-model-with-transparencyWe’re excited to announce we’ll be presenting a session at the upcoming Red Hat webinar series AI/ML: Smart apps, easy delivery, fast

Machine Learning

PerceptiLabs Releases Free Source Code for Our Machine Learning Handbook

Here at PerceptiLabs we love exploring all sorts of machine learning (ML) approaches. And if you've poked around our site in the last little while, you may have come across

Machine Learning

Four Common Types of Neural Network Layers (and When to use Them)

Neural networks (NN) are the backbone of many of today's machine learning (ML) models, loosely mimicking the neurons of the human brain to recognize patterns from input data. As a

News

PerceptiLabs Enterprise now available through Red Hat Marketplace

PerceptiLabs Enterprise is now available through Red Hat Marketplace as an OpenShift Operator. The recently introduced Red Hat Marketplace is a simpler way to buy and manage enterprise software, with

Machine Learning

PerceptiLabs' Top 5 Open Source Datasets for Machine Learning

Those who are developing machine learning (ML) models or just getting into ML for the first time have it good, because never before have so many open source datasets been

Machine Learning

Five Common Hyperparameters (and how to set them in PerceptiLabs)

Creating a machine learning (ML) model involves a lot of variables such as deciding what data to analyze, which approach to employ (e.g., a neural network), and what type

Machine Learning

Teaching Your AI to do Powerful Things the Easy Way, with PerceptiLabs and Red Hat

PerceptiLabs is proud to announce our partnership with Red Hat, for our "Enterprise" version of our visual machine learning modeling tool. Through this partnership, our enterprise customers can install PerceptiLabs

Machine Learning

A Look at PerceptiLabs’ Browser-Based Architecture

During our initial development of PerceptiLabs Beta, we generated our visual modeling tool as a native, platform-specific executable for Windows, Mac, and Linux. We recently switched to a new “browser-based”

In The News

PerceptiLabs Named to the 2020 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups

PerceptiLabs recognized for achievements in AI Model Development New York, NY, March 3, 2020 -- CB Insights today named PerceptiLabs to the fourth annual AI 100 ranking, showcasing the 100

Model Management

MLOps: An “Ops” Just for Machine Learning

If you’ve been around software development for a while, you’ve undoubtedly come across numerous terms appended with the word “Ops”, such as “DevOps”, “TestOps”, or “DataOps”. Of these, “DevOps” (short for “development and information-technology operations”) is probably the most well-known. It refers

Transparency

The Importance of Transparency in Machine Learning Models

Digital systems are only useful if they can be trusted to do their job. With traditional deterministic systems, we could derive a degree of certainty that a system was working