Transfer Learning Archives

Transfer Learning

TensorFlow for Computer Vision – Transfer Learning Made Easy

Deep Learning Modeling TensorFlow Transfer Learningposted by Dario Radečić March 4, 2022

Writing neural network model architectures from scratch involves a lot of guesswork. How many layers? How many nodes per layer? What activation function to use? Regularization? You won’t run out of questions any time soon. Transfer learning takes a different approach. Instead of starting from scratch,... Read more

Fast, Visual, and Explainable ML Modeling With PerceptiLabs

Blogs from ODSC Speakers Conferences Machine Learning Modeling East 2021 PerceptiLabs Transfer Learning visual modelingposted by ODSC Community March 22, 2021

Pure-code ML frameworks like TensorFlow, have become popular for building ML models because they effectively offer a high-level grammar for describing model topologies and algorithms. This is a powerful approach, but it has limitations for providing insight and explainability of models. These issues are further magnified... Read more

Deep Learning-Driven Text Summarization & Explainability with Reuters News Data

Deep Learning Modeling NLP/Text Analytics Explainability Text Summarization Transfer Learning West 2020 xplainable AIposted by ODSC Community September 28, 2020

Editor’s note: At ODSC West 2020, Nadja Herger, Nina Hristozova, and Viktoriia Samatova will hold a workshop focused on text summarization and that will allow you to automatically generate news headlines powered by Reuters News, and learn about the power of transfer learning and explainable AI.... Read more

Watch: Effective Transfer Learning for NLP

Conferences Machine Learning Modeling NLP/Text Analytics Transfer Learningposted by ODSC Team July 24, 2019

Transfer learning, the practice of applying knowledge gained on one machine learning task to aid the solution of a second task, has seen historic success in the field of computer vision. The output representations of generic image classification models trained on ImageNet have been leveraged to... Read more

Techniques to Overcome Data Scarcity

Featured Post Modeling Machine Learning Transfer Learningposted by Parinaz Sobhani February 21, 2019

Editor’s note: Attend ODSC East 2019 this April 30 to May 3 in Boston and check out Parinaz’ talk, “Data Efficiency Through Transfer Learning” there! Supervised machine learning models are being used to successfully solve a whole range of business challenges. However, these models are data-hungry and... Read more

TensorFlow for Computer Vision – Transfer Learning Made Easy

Fast, Visual, and Explainable ML Modeling With PerceptiLabs

Deep Learning-Driven Text Summarization & Explainability with Reuters News Data

Watch: Effective Transfer Learning for NLP

Techniques to Overcome Data Scarcity

ODSC’s AI Weekly Recap: Week of December 8th

Photo Mosaics with Nearest Neighbors: Machine Learning for Digital Art

The Three Essential Methods to Evaluate a New Language Model