ViewTube

0:00 Basis functions separated into radial and angular components 0:41 Using the real Fourier series to build functions on the unit ...

MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: ...

This video series introduces the mathematical and conceptual foundations of equivariant convolutions, with a focus on rotational ...

0:00 Moving into the discrete point cloud regime 1:13 Discrete point cloud SO(2) equivariant convolution definition 2:15 Similarity ...

0:00 Visualisation of the Fourier Bessel basis 1:07 SO(2) equivariant continuous convolution definition 2:08 Verification of the ...

0:00 General setting for SO(2) equivariant convolutions for tensor fields 0:55 Integral definitions of SO(2) equivariant convolution ...

0:00 Background and motivation 1:09 Notation used in the series 1:59 Simple discrete convolution example 2:55 Receptive field ...

0:00 Introducing tensor fields as inputs 1:40 Feature vectors with tensor features 2:20 Rotation behaviour of scalars in the real ...

0:00 Standard convolutions are not rotationally equivariant 0:22 Rotational equivariance condition 0:50 The general setting and ...

0:00 Visualisation of the vector rotating in the complex representation 1:21 Derivation and visualisation of the tensor rotating in the ...

0:00 Formal definition of the basis change from the real to complex representation 1:34 Basis change for the real rotation matrix to ...

This video presents our BERT 2423 – Signal Systems Project, covering multiple signal processing concepts implemented using ...

In this groundbreaking video, we delve into the revolutionary world of bacterial DNA classification using Fuzzy Convolutional ...

How to predict an image using VGG16 Code: https://github.com/zelal-Eizaldeen/vgg16-image-predition #VGG #education ...

... robust to changes So you can see here just the code for the convolutional neural network and I just wanted to show you the idea ...