IntroductionWith the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks…
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3 Ways to Optimize and Export BERT Model for Online Serving
3 Ways to Optimize and Export BERT Model for Online ServingNg Wai FoongBlockedUnblockFollowFollowingJul 7Image taken from Google AI BlogThe topic for today…
Continue ReadingHow to create your own Question-Answering system easily with python
How to create your own Question-Answering system easily with pythonHow to create a QA System on your own (private) data with…
Continue ReadingBuilding a Search Engine with BERT and TensorFlow
Building a Search Engine with BERT and TensorFlowIn this experiment, we will use a pre-trained BERT model checkpoint to build…
Continue ReadingXLNet outperforms BERT on several NLP Tasks
XLNet outperforms BERT on several NLP TasksXLNet is a new pretraining method for NLP that achieves state-of-the-art results on several NLP tasks.…
Continue ReadingDistilling BERT — How to achieve BERT performance using Logistic Regression
They show that we can get the same performance (or even better) on a specific task by distilling the information…
Continue ReadingBERT Classifier: Just Another Pytorch Model
Valencia, Spain. Whenever I don’t do projects with image outputs I just use parts of my photo portfolio…. Per usual…
Continue ReadingBERT to the rescue!
BERT to the rescue!Dima ShulgaBlockedUnblockFollowFollowingJun 5In this post, I want to show how to apply BERT to a simple text classification…
Continue ReadingBERT in Keras with Tensorflow hub
First, we load the same IMDB data we used previously:# Load all files from a directory in a DataFrame. def…
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