List: Done | Curated by Yağmur Çiğdem Aktaş

Nov 3, 2022
20 stories
Done
In
Analytics Vidhya
by
Aravind Ramalingam
Do You Visualize DataLoaders for Deep Neural Networks?A lot of factors can affect the performance of a Deep Neural Network. Let’s see how we can set up a PyTorch pipeline for Image augmentation…
Jun 3, 2021
1
Jun 3, 2021
1
In
Analytics Vidhya
by
Aravind Ramalingam
How to Pick the Optimal Image Size for Training Convolution Neural Network?When training a Convolution Neural Network on a custom dataset, picking the right image is crucial. This will impact the training time &…
Jun 23, 2021
2
Jun 23, 2021
2
Shubham Koli
Object Tracking with Opencv and PythonIn this blog we will learn how to use Object Tracking with Opencv and Python.
May 17, 2022
May 17, 2022
In
TDS Archive
by
Amine Hadj-Youcef. PhD
Have you Optimized your Deep Learning Model Before Deployment?w/ an Application in Computer Vision Optimization of Deep Learning Models Before Deployment.
Jul 30, 2019
5
Jul 30, 2019
5
In
TDS Archive
by
Nour Islam Mokhtari
How to Deploy Tensorflow Models in C++ in 3 different waysA summary of my journey of doing this in the last 4 years
Feb 10, 2022
2
Feb 10, 2022
2
In
Picsellia
by
Valentin
How To Optimize Computer Vision Models For Edge DevicesThis article will introduce you to “Inference at the Edge” and “Inference Optimization Techniques” in Machine Learning.
Jul 5, 2022
Jul 5, 2022
In
TDS Archive
by
Shilpa Ananth
Faster R-CNN for object detectionA technical paper summary
Aug 9, 2019
15
Aug 9, 2019
15
In
Python in Plain English
by
Eason
Hungarian Algorithm Introduction & Python ImplementationHow to use Hungarian Method to resolve the linear assignment problem
Aug 2, 2021
4
Aug 2, 2021
4
In
Augmented AI
by
Ritesh Kanjee
DeepSORT — Deep Learning applied to Object Tracking
Aug 31, 2020
8
Aug 31, 2020
8
In
TDS Archive
by
Sabyasachi Sahoo
Residual blocks — Building blocks of ResNetUnderstanding  a residual block is quite easy. In traditional neural networks, each layer feeds into the next layer. In a network with…
Nov 27, 2018
6
Nov 27, 2018
6
Firiuza
ROI pooling vs. ROI alignIn computer vision there are many interesting problems and one of them is object detection and segmentation on image.
Jan 8, 2020
Jan 8, 2020
In
TDS Archive
by
Kunlun Bai
A Comprehensive Introduction to Different Types of Convolutions in Deep LearningTowards intuitive understanding of convolutions through visualizations
Feb 11, 2019
43
Feb 11, 2019
43
In
TDS Archive
by
Chi-Feng Wang
A Basic Introduction to Separable ConvolutionsExplaining spatial separable convolutions, depthwise separable convolutions, and the use of 1x1 kernels in a simple manner.
Aug 14, 2018
49
Aug 14, 2018
49
In
TDS Archive
by
Sik-Ho Tsang
Review: MobileNetV1 — Depthwise Separable Convolution (Light Weight Model)In this story, MobileNetV1 from Google is reviewed. Depthwise Separable Convolution is used to reduce the model size and complexity. It is…
Oct 14, 2018
7
Oct 14, 2018
7
In
TDS Archive
by
Kenneth Leung
How to Easily Draw Neural Network Architecture DiagramsUsing the no-code diagrams.net tool to showcase your deep learning models with diagram visualizations
Aug 23, 2021
9
Aug 23, 2021
9
S Joel Franklin
K-Means Clustering for Image ClassificationYes! K-Means Clustering can be used for Image Classification of MNIST dataset. Here’s how.
Jan 2, 2020
4
Jan 2, 2020
4
In
TDS Archive
by
Sunny K. Tuladhar
K-means and PCA for Image Clustering: a Visual AnalysisWe can use K-means and Principle Component Analysis(PCA) for clustering images on the Fashion MNIST data-set. We will also visually…
Jun 3, 2020
2
Jun 3, 2020
2
In
axinc-ai
by
David Cochard
DeepSort : A Machine Learning Model for Tracking People
May 12, 2021
2
May 12, 2021
2
In
DataSeries
by
Eugenia Anello
Convolutional Autoencoder in Pytorch on MNIST datasetThe post is the seventh in a series of guides to build deep learning models with Pytorch. Below, there is the full series:
Jun 28, 2021
6
Jun 28, 2021
6
In
TDS Archive
by
Chaitanya Reddy Patlolla
Understanding the concept of Hierarchical clustering TechniqueHierarchical clustering Technique is one of the popular Clustering techniques in Machine Learning. Before we try to understand the concept…
Dec 10, 2018
11
Dec 10, 2018
11