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54 results
1:38 Introduction to Convolutional Codes 5:10 Time Domain Approach 8:08 Frequency Domain Approach Your Queries: vtu ...
2,392 views
2 weeks ago
Module 5: Convolutional Codes - Convolutional Encoder - Code Tree, Trellis Graph, State Graph - Recursive Systematic ...
1,898 views
... problems related to convolutional encoder so convolutional encoder approach output sequence findain approach and transform ...
235 views
8 months ago
... Entropy and Huffman Coding 07:16 Module 4 - Error Control Coding 09:07 Module 5 - Convolutional Encoder & Trellis Diagram ...
5,569 views
193 views
Struggling to understand how Autoencoders compress and reconstruct data? This video guides you through a complete, ...
199 views
1 month ago
Model Paper & PDF Notes : https://drive.google.com/drive/folders/1GYSTmOZJ8Js_1f65Ghf-pzZNkFSGwPfy?usp=sharing 5th ...
5,838 views
This video presents advanced convolutional neural network (CNN) building blocks: pointwise and depthwise convolutions, ...
10 views
2 months ago
5 views
GitHub repository: https://github.com/andandandand/practical-computer-vision 00:00 Skip Connections 00:27 Learning goals ...
463 views
9 months ago
... block codes, LBC, Convolutional Codes, Time Domain Approach, Transfrom Domain Approach, Information Theory and coding, ...
363 views
... mechanism in vision transformers gives it a global receptive field in convolutional neural networks we have local receptive fields ...
29,955 views
This video presents OneNet, a novel adaptation of the U-Net architecture designed to bridge the gap between state-of-the-art ...
29 views
This is a review of a scientific articleof a scientific article entitled “Attention Is All You Need,” authored by Google Brain and Google ...
110 views
This research introduces DETR (DEtection TRansformer), a streamlined framework that reinterprets object detection as a direct set ...
11 views
Title: Development of a Petrochemical Plant Pipe Counting Method Based on Improved Mask R-CNN and Transformer Authors: ...
22 views
3 months ago
This video is very useful for learn Deep learning Lecture by Nagarajan.S Assistant Professor CINTEL SRMIST R2U-Net is an ...
15 views
6 months ago
Vision Transformers, or ViT, apply the Transformer architecture—originally developed for language—to visual data. Instead of ...
0 views
3 weeks ago
... Convolutional Encoder Problem 1:11 Understanding the Convolutional Encoder (3,1,2) 2:00 Calculating Output Values (V1, V2, ...
2,782 views
Welcome to BONGINEERING – “Engineering Made Easy!” In today’s lecture, we will learn Unit 6 – Convolutional Codes, one of the ...
3 views