pre-trained

Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

IntroductionWith the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks…

bert, model, pre-trained

Why BERT Fails in Commercial Environments

By Oren Pereg, Moshe Wasserblat & Daniel Korat, Intel AILarge transformer-based neural networks such as BERT, GPT and XLNET have recently…

labeled, models, pre-trained

Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch

Solving the Challenge using Transfer Learning I’ve touched on this above and I’ll reiterate it here – we will…

pre-trained, transfer, view

The next greatest Batman story — generated

In this somewhat futile experiment of trying to bring a new story to the caped crusader, and learn about recursive…

batman, model, pre-trained

A Simple Way to Detect Anomaly

A Simple Way to Detect AnomalyAbby YehBlockedUnblockFollowFollowingJun 11Photo by Markus Spiske on UnsplashWhen the number of observations in one class is much…

data, model, pre-trained

How to Use Transfer Learning when Developing Convolutional Neural Network Models

Deep convolutional neural network models may take days or even weeks to train on very large datasets. A way to…

model, pre-trained, used

Transfer Learning with PyTorch

Transfer Learning with PyTorchGilbert AdjeiBlockedUnblockFollowFollowingFeb 20When we learn something in our daily lives, similar things become very easy to learn because—we…

model, parameters, pre-trained