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29 results
Linear Convolution Properties.
262 views
4 years ago
Today we discuss some powerful techniques for improving training and avoiding over-fitting: - *Dropout*: remove activations at ...
72,317 views
6 years ago
Lecture 89 Differentiation of continuous time signals Watch previous video here : https://youtu.be/wiIpkvexDR8 Watch next video ...
618 views
These videos are helpful for the following Examinations - GATE Computer Science, GATE Electronics and Communication, NTA ...
805 views
7 years ago
Lecture 129 In this video I solve Assignment 3 of signals and systems (UET Peshawar spring 2020 semester) Watch previous ...
111 views
490 views
This tutorial explains how the simulations of the wave equation on this channel have been coded. After giving a derivation and ...
9,416 views
2 years ago
210 views
00:00 Introduction and survey 01:36 "Lesson 0" How to fast.ai 02:25 How to do a fastai lesson 04:28 How to not self-study 05:28 ...
149,465 views
3 years ago
... if you multiply an identity function with the with any signal it through convolution operation it will give back the original signal.
9,724 views
5 years ago
2,182 views
361 views
626 views
SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo) Target Audience: Senior Undergraduate Engineering ...
33,502 views
Lecture 115 Discrete time filtering Watch previous video here : https://youtu.be/sfJzMLSOt5M Watch next video here ...
910 views
55 views
Dynamic Data Assimilation: an introduction by Prof S. Lakshmivarahan,School of Computer Science,University of Oklahoma.
606 views
9 years ago
Dynamic Data Assimilation by Prof. S. Lakshmivarahan IIT Madras(USA)- Mathematics.
829 views
Lecture 71 Systems described by difference equations Watch previous video here : https://youtu.be/850VbWud8tA Watch next ...
1,952 views
Dropout is an approach to regularization in neural networks which helps reduce interdependent learning amongst the neurons.
78,503 views
