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Question Answering Models: A Comparison
This article covers a deeper level understanding of Question Answering models in NLP, the datasets commonly used, and how to choose a pre-trained model by considering various factors like the document structure, runtime cost, etc.
3 days ago
Alternative to Colab Pro: Comparing Google's Jupyter Notebooks to Gradient Notebooks
Google Colab Pro is a substantial improvement to free-tier Colab but there are still a number of limitations that make alternatives to Colab Pro like Paperspace Gradient appealing.
By
David
Concurrent Spatial and Channel Squeeze & Excitation (scSE) Nets
In this article, we will take a look at the paper "Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks" which serves as a design update for the popular Squeeze-and-Excitation attention module.
10 days ago
Shuffle Attention for Deep Convolutional Neural Networks (SA-Net)
This article gives an in-depth summary of the ICASSP paper titled "SA-Net: Shuffle Attention for Deep Convolutional Neural Networks."
14 days ago
Comparison: SageMaker Studio Notebooks and Paperspace Gradient Notebooks
AWS SageMaker Studio Notebooks are feature-rich and yet present a number of difficulties when getting started and when trying to understand pricing. Here we take a look at the favorable and unfavorable comparisons with Gradient Notebooks from Paperspace.
By
David
Comparison: Google's AI Platform Notebooks and Paperspace's Gradient Notebooks
Google AI Platform Notebooks are enterprise-grade notebooks best suited for those with compliance concerns who need to ingest data from GCP sources like BigQuery. Gradient is more like Google's other notebook product Colab but with advanced features.
By
David
By
Bharath K