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44 results
189 views
7 months ago
This video presents OneNet, a novel adaptation of the U-Net architecture designed to bridge the gap between state-of-the-art ...
29 views
2 months ago
GitHub repository: https://github.com/andandandand/practical-computer-vision 00:00 Skip Connections 00:27 Learning goals ...
434 views
8 months ago
... problems related to convolutional encoder so convolutional encoder approach output sequence findain approach and transform ...
231 views
Struggling to understand how Autoencoders compress and reconstruct data? This video guides you through a complete, ...
165 views
3 weeks ago
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
1 month ago
This video presents advanced convolutional neural network (CNN) building blocks: pointwise and depthwise convolutions, ...
10 views
Active Learning Module (ALM) for Convolution Codes : The Generator of Convolution Codes in ADCS | Exam-Ready Courses by ...
7 views
11 months ago
Title: Development of a Petrochemical Plant Pipe Counting Method Based on Improved Mask R-CNN and Transformer Authors: ...
21 views
3 months ago
5 views
This video is very useful for learn Deep learning Lecture by Nagarajan.S Assistant Professor CINTEL SRMIST R2U-Net is an ...
15 views
5 months ago
... X - https://x.com/VukRosic99 0:00 - Long Context Idea 1:57 - Deepseek OCR 2:36 - Encoder Issues 3:20 - Encoder Architecture ...
4,899 views
Transformers Explained – “Attention Is All You Need” Paper In this video, I break down one of the most influential research papers ...
2 views
4 months ago
Listen to this audiobook in full for free on https://hotaudiobook.com Title: Deep Learning for Beginners: 2 in 1 Author: Steven ...
1 view
Welcome to BONGINEERING – “Engineering Made Easy!” In today’s lecture, we will learn Unit 6 – Convolutional Codes, one of the ...
Synopsis: We have learned RNN for sequence / text data. But are there any issues with RNN? And how to overcome these issues ...
38 views
10 months ago
In this series, we will look at Generative Adversarial Networks, shortly GAN. The GAN is a neural network-based generative model ...
355 views
Hellooooo everyone! It's san-no Ani, and today we're diving into a super cool, totally trending paper: **SSH-Net: A ...
41 views
Master LSTMs in Deep Learning! | Long Short-Term Memory Explained with Python Long Short Term Memory: The RNN That ...
699 views
Title: DDT: Decoupled Diffusion Transformer (Apr 2025) Link: http://arxiv.org/abs/2504.05741v2 Date: April 2025 Summary: This ...
31 views