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Analog and digital communications (Hinglish) I Course URL: https://onlinecourses.nptel.ac.in/noc26_ee03/preview Prof.

In this video, we take a look at Feature Pyramid Networks (FPN). What is it? How does it work? Why they are so useful in computer ...

In this video, we walk through the back propagation learning procedure in a convolution neural network, step by step. ABOUT ME ...

Lecture 08: Convolution Description: In linear time-invariant systems, breaking an input signal into individual time-shifted unit ...

Lecture 09: Fourier Transform Properties Topics covered: Linearity, symmetry, time shifting, differentiation and integration, time ...

Lecture 04: Convolution Topics covered: Representation of signals in terms of impulses; Convolution sum representation for ...

Lecture 05: Properties of Linear, Time-Invariant Systems Topics covered: Properties of linear, time-invariant systems, including the ...

10 Time Series Description: This video covers the Poisson Process, spike train variability, convolution, cross-correlation, ...

The wavelet transform is a mathematical tool that breaks signals into different frequency components, analyzing each with a ...

Analog and digital communications (Hinglish) I Course URL: https://onlinecourses.nptel.ac.in/noc26_ee03/preview Prof.

Lecture 12: Filtering Topics covered: Relation to the convolution property of Fourier transform; Ideal and non ideal ...

Analog and digital communications (Hinglish) I Course URL: https://onlinecourses.nptel.ac.in/noc26_ee03/preview Prof.

Let's talk about Boltzmann Machines RESOURCES [1 📚] Main paper: ...

In this video, we take a look at R-CNN (regions with convolution features). We see how training and inference occurs. ABOUT ME ...

Lecture 11: Discrete-Time Fourier Transform Topics covered: Representation of aperiodic signals; Discrete-time Fourier transform ...