Blog Post Tag - machine learning

10 posts tagged with "machine learning"

How to Implement Extractive Summarization with BERT in Pytorch
How to Implement Extractive Summarization (as Sentence Classification) using HuggingFace BERT models in Pytorch
August 27th 2021
how to, nlp, machine learning
Neural Extractive Summarization with BERT
Overview of Extractive Summarization using BERT Based Models
August 22nd 2021
research, nlp, machine learning
Top 10 Machine Learning and Design Insights from Google IO 2021
A list of the top 10 design and AI/ML insights discussed at Google IO 2021.
May 18th 2021
research, machine learning
State of Deep Learning for Object Detection - You Should Consider CenterNets!
It's 2021 - there has been quite a bit of progress in practical models for object detection.
March 21st 2021
research, machine learning
Real-Time High-Resolution Background Matting | Paper Review
A review of the CVPR 2021 paper "Real-Time High-Resolution Background Matting".
March 3rd 2021
research, paper reading, machine learning
U2Net Going Deeper with Nested U-Structure for Salient Object Detection | Paper Review
A review of the August 2020 U^2-Net paper. Technical overview, practical considerations.
March 2nd 2021
research, paper reading, machine learning
Recent Breakthroughs in AI (Karpathy, Johnson et al, Feb 2021)
Summary of my notes from the Feb 11 Talk on “Recent breakthroughs in AI” .
February 11th 2021
research, paper reading, machine learning
How to Explain HuggingFace BERT for Question Answering NLP Models with TF 2.0
Using gradients to visualize what parts of the question/passage most impact the predicted answer.
July 22nd 2020
machine learning, nlp, tensorflow, howto
Introducing Anomagram - An Interactive Visualization of Autoencoders, Built with Tensorflow.js
An interactive tool that lets you train and evaluate an autoencoder for the task of anomaly detection on ECG data. It lets you visualize performance metrics, internal model state as training progresses, all in the browser.
December 31st 2019
machine learning, visualization, web
Designing Anomagram
A discussion on some of the design and optimizations that support the user experience goals for the Anomagram app.
December 31st 2019
machine learning, visualization, web

Related Tags : how to (1),howto (1),machine learning (10),nlp (3),paper reading (3),research (6),tensorflow (1),visualization (2),web (2)

Join the Newsletter.

Subscribe to get a monthly newsletter on Applied AI and HCI .

Feel free to reach out! Twitter, GitHub, LinkedIn

Blog Post Tag - machine learning

10 posts tagged with "machine learning"

How to Implement Extractive Summarization with BERT in Pytorch

How to Implement Extractive Summarization (as Sentence Classification) using HuggingFace BERT models in Pytorch

Neural Extractive Summarization with BERT

Overview of Extractive Summarization using BERT Based Models

Top 10 Machine Learning and Design Insights from Google IO 2021

A list of the top 10 design and AI/ML insights discussed at Google IO 2021.

State of Deep Learning for Object Detection - You Should Consider CenterNets!

It's 2021 - there has been quite a bit of progress in practical models for object detection.

Real-Time High-Resolution Background Matting | Paper Review

A review of the CVPR 2021 paper "Real-Time High-Resolution Background Matting".

U2Net Going Deeper with Nested U-Structure for Salient Object Detection | Paper Review

A review of the August 2020 U^2-Net paper. Technical overview, practical considerations.

Recent Breakthroughs in AI (Karpathy, Johnson et al, Feb 2021)

Summary of my notes from the Feb 11 Talk on “Recent breakthroughs in AI” .

How to Explain HuggingFace BERT for Question Answering NLP Models with TF 2.0

Using gradients to visualize what parts of the question/passage most impact the predicted answer.

Introducing Anomagram - An Interactive Visualization of Autoencoders, Built with Tensorflow.js

An interactive tool that lets you train and evaluate an autoencoder for the task of anomaly detection on ECG data. It lets you visualize performance metrics, internal model state as training progresses, all in the browser.

Designing Anomagram

A discussion on some of the design and optimizations that support the user experience goals for the Anomagram app.

Join the Newsletter.