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Machine Learning and Deep Learning comparison

A Comparison of Traditional Machine Learning and Deep Learning in Image Recognition

In journal, Jun 05, 2022

Siamese Network for duplicate detection

In this post, I will list out the application of Siamese network from the paper Using Siamese CNNs for Removing Duplicate Entries From Real-Estate Listing Databases.

In journal, May 05, 2022

Low dimension neural network training

Deep neural networks can be optimized in randomly-projected subspaces of much smaller dimensionality than their native parameter space. While such training is promising for more effic...

In journal, Mar 31, 2022

Gradio Tutorial

I recently had a POC to present to my team. It was an image similarity project in the retail space. I was looking for a simple tool to demo the top N similar image for a given query i...

In journal, Feb 01, 2022

Segmentation data annotation cvat

In this article, I will walk you through the process of annotating images for instance segmentation using the cvat.org website.

In journal, Dec 17, 2021

Serving Tensorflow to 300 million predictions per second

This paper presents the process of transitioning machine learning models to the Tensorflow framework at a large scale in an online advertising ecosystem.

In journal, Sep 24, 2021

Statistically stopping of neural network training

Paper: Statistically Significant Stopping of Neural Network Training

In journal, Jul 03, 2021

Visualize feature maps

In this article, I will visualize the feature maps in a neural network. Since the focus of this article is to visualize the feature maps, I am using a tutorial neural network training...

In journal, May 09, 2021

Exploring Siamese Network

Exploring Simple Siamese Representation Learning

In journal, Nov 23, 2020

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