Understanding Convolutional Neural Networks: Building Blocks and Operations
An overview of Convolutional Neural Networks (CNNs), including key components such as kernels, stride, padding, pooling, and flattening, and how these elements contribute to the network's functionality.
Binod Suman Academy
651.2K views • Jun 26, 2020
About this video
What is Convolutional Neural Networks?
What is the actual building blocks like Kernel, Stride, Padding, Pooling, Flatten?
How these building blocks are help to reduce dimensionality with keeping all important feature.
What is the formula to get output layer dimension?
Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Explained by Python Code https://youtu.be/CNP2IAldEk8
Neural Networks - Feedforward Algorithm | Matrix Math behind | Forward Propagation in a Deep Network. https://youtu.be/vQP3szTWsRM
Deep Learning Playlist https://www.youtube.com/playlist?list=PLIRnO_sdVuEfau_eJKVhiaLaqIXCT0F-_
What is the actual building blocks like Kernel, Stride, Padding, Pooling, Flatten?
How these building blocks are help to reduce dimensionality with keeping all important feature.
What is the formula to get output layer dimension?
Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Explained by Python Code https://youtu.be/CNP2IAldEk8
Neural Networks - Feedforward Algorithm | Matrix Math behind | Forward Propagation in a Deep Network. https://youtu.be/vQP3szTWsRM
Deep Learning Playlist https://www.youtube.com/playlist?list=PLIRnO_sdVuEfau_eJKVhiaLaqIXCT0F-_
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Video Information
Views
651.2K
Likes
13.7K
Duration
21:32
Published
Jun 26, 2020
User Reviews
4.8
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