What are Convolutions? in 1min Convolutions in deep learning can be visualized as a sliding window or grid, known as a kernel (or filter), that moves across an input image. This operation is fundamental to convolutional neural networks (CNNs). The behavior of this sliding mechanism is primarily controlled by three key hyperparameters Kernel size defines the dimensions (3x3, 7x7, etc.) of the sliding window. It dictates the local receptive field, or the area of the input image that the kernel pro
1:06
What are Convolutions? in 1min Convolutions in deep learning ca…
2K views6 months ago
FacebookMd Ismail Sojal
Convolutions in deep learning can be understood as a sliding grid called a kernel or filter that moves across an input image. This operation forms the core of convolutional neural networks (CNNs). How this sliding window behaves is determined by three important hyperparameters: Kernel size defines the dimensions of the filter (like 3x3 or 7x7). It determines the local region of the image the kernel examines at each step. Stride controls how far the kernel shifts each time it moves. A stride of 1
2:12
Convolutions in deep learning can be understood as a sliding grid ca…
20.3K views2 months ago
FacebookMohit Rathod
Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks
20:04
Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks
Dec 25, 2020
geeksforgeeks.org
Strided Convolutions Explained Clearly | CNN Output Size Formula + Example
6:14
Strided Convolutions Explained Clearly | CNN Output Size Formul…
5 views3 weeks ago
YouTubeCoursesteach
Class 10 Unit 2 AI (417) Deep Learning Explained | ANN & CNN | Advanced Concepts of Modelling in AI
26:59
Class 10 Unit 2 AI (417) Deep Learning Explained | ANN & CNN …
2 views1 month ago
YouTubeAnjeev Singh
Devesh Punjabi on Instagram: "Most people think neural networks see flat images. They don’t. This is a 3D Neural Network 🧠⬛ It learns from height × width × depth — all at once. Here’s how it works 👇 • Feedforward → 3D convolutions extract spatial + depth patterns • Activation & pooling → important features survive • Fully connected layers → final prediction • Backpropagation → errors flow backward, weights get smarter That’s the difference. 2D sees surfaces. 3D understands structure. 🎥 Credit
0:10
Devesh Punjabi on Instagram: "Most people think neural networks see f…
1.6K views1 month ago
Instagramheydevesh.ai
Convolutions in Deep Learning - Interactive Demo App
Convolutions in Deep Learning - Interactive Demo App
74.5K viewsJun 2, 2021
YouTubedeeplizard
Convolutional Neural Networks (CNN) | Architecture | DL - Unit-3 …
1.8K viewsJan 6, 2025
YouTubePro coder jii
Geometric Deep Learning - Michael Bronstein - MLSS 2020, Tübingen
6.6K viewsJul 8, 2020
YouTubevirtual mlss2020
9:09
Neural Network Architectures & Deep Learning
851.9K viewsJun 6, 2019
YouTubeSteve Brunton
11:15
Intro to Relational - Graph Convolutional Networks
36.7K viewsAug 11, 2020
YouTubeWelcomeAIOverlords
14:17
CNN: Convolutional Neural Networks Explained - Computerphile
891.6K viewsMay 20, 2016
YouTubeComputerphile
6:09
Visualizing Convolutional Filters from a CNN
133.9K viewsDec 24, 2017
YouTubedeeplizard
1:08:56
Lecture 5 | Convolutional Neural Networks
696.6K viewsAug 11, 2017
YouTubeStanford University School of Engineering
10:47
Convolutional Neural Networks Explained (CNN Visualized)
411.5K viewsDec 19, 2020
YouTubeFuturology — An Optimistic Future
35:23
15- Convolutional Neural Networks Explained Easily
27.1K viewsFeb 24, 2020
YouTubeValerio Velardo - The Sound of AI
13:21
Graph Convolutional Networks using only NumPy
43.8K viewsDec 10, 2020
YouTubeWelcomeAIOverlords
1:13:59
Lecture 4 | Introduction to Neural Networks
706.9K viewsAug 11, 2017
YouTubeStanford University School of Engineering
5:33
Introducing convolutional neural networks (ML Zero to Hero - Part 3)
327.6K viewsSep 11, 2019
YouTubeTensorFlow
6:02
What is a convolutional neural network (CNN)?
262.8K viewsSep 25, 2018
YouTubePackt
27:07
Attention Is All You Need
760.1K viewsNov 28, 2017
YouTubeYannic Kilcher
36:10
Convolutions in Image Processing | Week 1, lecture 6 | MIT 18.S191 Fal…
728.8K viewsSep 3, 2020
YouTubeThe Julia Programming Language
51:06
Intro to graph neural networks (ML Tech Talks)
207.2K viewsJun 17, 2021
YouTubeTensorFlow
8:35
The ultimate intro to Graph Neural Networks. Maybe.
93.9K viewsAug 13, 2020
YouTubeAI Coffee Break with Letitia
14:28
Graph Neural Networks - a perspective from the ground up
261.7K viewsAug 23, 2021
YouTubeAlex Foo
15:24
Neural Networks Part 8: Image Classification with Convolutional …
388.2K viewsMar 8, 2021
YouTubeStatQuest with Josh Starmer
59:00
An Introduction to Graph Neural Networks: Models and Applications
343.6K viewsMay 8, 2020
YouTubeMicrosoft Research
7:01
Video Classification with Deep Learning
25.5K viewsMay 21, 2019
YouTubeConnor Shorten
4:29
1D convolution for neural networks, part 1: Sliding dot product
42.9K viewsMar 8, 2020
YouTubeBrandon Rohrer
29:35
Introduction to Bayesian Networks | Implement Bayesian Networks In …
154.6K viewsJul 18, 2019
YouTubeedureka!
See more videos
Static thumbnail place holder