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324,289 results
In this video we discuss the sigmoid function. The sigmoid function plays an important role in the field of machine learning and is ...
145,173 views
5 years ago
... new activation function (swish): https://arxiv.org/pdf/1710.05941v1.pdf [6] Used an Image of activation functions from this Pawan ...
151,306 views
The simplest possible back propagation example done with the sigmoid activation function. Some brief comments on how ...
40,774 views
1 Solved Example Back Propagation Algorithm Multi-Layer Perceptron Network Machine Learning by Dr. Mahesh Huddar Back ...
1,202,092 views
3 years ago
👉Subscribe to our new channel:https://www.youtube.com/@varunainashots Subject-wise playlist Links ...
98,970 views
11 months ago
The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural ...
356,215 views
Neural Networks have a lot of knobs and buttons you have to set correctly to get the best possible performance out of it. Although ...
6,145 views
In artificial neural networks, the activation function of a node defines the output of that node given an input or set of inputs.
247,928 views
6 years ago
72,760 views
10 months ago
Are you preparing for university-level exams in Artificial Intelligence (AI) , Machine Learning (ML) , or Computer Science ?
523 views
Hi all in this video we are going to solve some of the problems which are coming under the activation functions okay so let's see ...
25,421 views
In this video, we cover the most common Activation Functions in Deep Learning. And also, will implement these activation ...
2,518 views
This video describes how the non-linearity of activation function helps in solving problems which would otherwise not be solvable ...
2,783 views
4 years ago
We have used Sigmoid activation function also know to that its derivation is ranges between 0 to 0.25 so why its like that clearly ...
126 views
SoftMax Activation Function in Neural Networks SoftMax function Solved example by Mahesh Huddar The following concepts are ...
37,440 views
2 years ago
Activation functions (step, sigmoid, tanh, relu, leaky relu ) are very important in building a non linear model for a given problem.
310,103 views
Activation Functions - Artificial Neural networks 1. Identity function, 2. Binary step function, 3. Bipolar step function, 4. sigmoid ...
46,896 views
Hey guys, In this video, we will discuss how activation functions work in a neural network in a very Intuitive way! Access this ...
1,003 views
Why do we use the mathematical constant "e" in the sigmoid function? My Patreon : https://www.patreon.com/user?u=49277905 ...
13,305 views
In this video, we will see the derivative rules which help to find derivative of activation function and also help in the ...
624 views