List: İnterview prep- segmentation, encoders, transformer | Curated by Yağmur Çiğdem Aktaş

Dec 18, 2022
12 stories
İnterview prep- segmentation, encoders, transformer
In
SyncedReview
by
Synced
Transformers on Edge Devices?
Sep 23, 2022
Sep 23, 2022
In
TDS Archive
by
Cameron R. Wolfe, Ph.D.
Quantized Training with Deep NetworksHow to cut neural net training time in half with minimal effort
Aug 30, 2022
Aug 30, 2022
Tuğrul Bayrak
UML Class DiyagramlarıUML Class Diyagramlarını derinlemesine inceleyelim.
May 24, 2019
5
May 24, 2019
5
In
Level Up Coding
by
Israel Miles
A Crash Course on Object-Oriented Programming in PythonAbstraction, Inheritance, UML diagrams and more!
Aug 1, 2020
1
Aug 1, 2020
1
In
TDS Archive
by
Animesh Agarwal
The Problem of Vanishing GradientsVanishing gradients occur while training deep neural networks using gradient-based optimization methods.  It occurs due to the nature of…
Jul 8, 2019
1
Jul 8, 2019
1
In
Artificialis
by
Alessandro Lamberti
ViT — VisionTransformer, a Pytorch implementationThe Attention is all you need’s paper revolutionized the world of Natural Language Processing and Transformer-based architecture became…
Aug 19, 2022
Aug 19, 2022
Naoki
ViT: Vision Transformer (2020)An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Nov 2, 2022
Nov 2, 2022
In
SyncedReview
by
Synced
A Brief Overview of Attention MechanismWhat is Attention?
Sep 25, 2017
21
Sep 25, 2017
21
In
TDS Archive
by
Harshall Lamba
Intuitive Understanding of Attention Mechanism in Deep LearningA TensorFlow Implementation of Neural Machine Translation with Attention
Mar 20, 2019
26
Mar 20, 2019
26
Naoki
Transformer’s Encoder-DecoderUnderstanding The Model Architecture
Dec 12, 2021
1
Dec 12, 2021
1
In
TDS Archive
by
Arden Dertat
Applied Deep Learning - Part 3: AutoencodersOverview
Oct 3, 2017
18
Oct 3, 2017
18
In
VisionWizard
by
Kanan Vyas
Object SegmentationUnderstanding different types of object segmentation methods.
Apr 26, 2020
1
Apr 26, 2020
1