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The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural Networks.
YouTube-StatQuest with Josh Starmer
Awesome song and introduction
ReLU in the Hidden Layer
ReLU right before the Output
The derivative of ReLU
What is the relu activation function used in artificial neural networks? To gain early access to the full Deep Learning Dictionary course ...
YouTube-deeplizard
Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources
Relu Activation Function
Collective Intelligence and the DEEPLIZARD HIVEMIND
In this video I discuss about why the ReLU activation function is more popular in deep neural networks than other activation functions like ...
YouTube-DataMListic
Intro
Activation Functions
Activation Functions Derivatives
ReLU Became Popular
Outro
ActivationFunctions #ReLU #Sigmoid #Softmax #MachineLearning Activation Functions in Neural Networks are used to contain the output between ...
YouTube-The Semicolon
Famous activation functions
Identity Function
Binary step function
Leaky ReLU
Softmax
This video describes the ReLU Activation and its variants such as Leaky ReLU, Parametric Leaky ReLU, and Randomized Leaky ReLU.
YouTube-Connor Shorten
Randomized Leaky ReLU
NDSB Results
Conclusions
Building Neural Networks from scratch in python. This is the ninth video of the course - "Neural Networks From Scratch".
YouTube-ML For Nerds
Introduction
Vanishing Gradient Problem
ReLU Activation function
ReLU function behaviour
Sine wave approximation using ReLU
Derivative of ReLU
Dying ReLU Problem
Advantages
Drawbacks
Tips for using ReLU
Python Implementation
In this video we explain the various ReLU activation function variants including: Leaky ReLU (LReLU), Parametric ReLU (PReLU), ...
Leaky ReLU (LReLU)
Parametric ReLU (PReLU)
Gaussian Error Linear Unit (GELU)
Sigmoid Linear Unit (SILU)
Softplus
Exponential Linear Unit (ELU)
Discussion
This video explains why Rectified Linear Unit (ReLU) is required on CNN? i.e. it tells about the importance of ReLU Layer on CNN.
YouTube-The AI University
Dying ReLU problem is a serious issue that causes the model to get stuck and never let it improve. This video explains how this happens and ...
YouTube-Developers Hutt
オリジナル曲 · 【MV】セレスト/Relu - 5th Anniversary 【オリジナル曲】【すたぽら】 · 【MV】 証 / Relu [オリジナル曲] · 【MV】雨と君、僕と空/Relu - 4th ...
YouTube-Relu
Rectified Linear Unit Activation Function RELU is a non-linear neural network activation function. This is the most widely used activation ...
YouTube-Joseph Rivera
Linear Activation Function
Positive values
Mathematical representation of RELU
Advantages of RELU
Computational Efficiency
Convergence to Global Minimum
After going through this video, you will know: 1. What are the basics problems of Sigmoid and Threshold activation function? 2.
YouTube-Krish Naik
This tutorial covers the working of the following functions: 1)Sigmoid 2)Tanh 3)Relu 4)Leaky Relu 4)SoftMax And other topics like the need ...
YouTube-Nachiketa Hebbar
Why we need activation functions?
Problem with Relu Network
Sigmoid activation function
Tanh activation function
Gradient of sigmoid
Relu activation function
Softmax function
Softmax activation function
Conclusion
In this video, we discuss and implement ReLU activation function and its derivative using PyTorch. Codebase: https://github.com/oniani/ai ...
YouTube-David Oniani
Discussing ReLU
Computing the derivative of Sigmoid
The API of the first approach
Implementing `forward` method
Implementing `backward` method
Using `gradcheck` for testing
The alternative implementation
... ReLU, Leaky ReLU & PReLU. Their Properties, Advantages & Disadvantages, Everything has been explained. Timestamps: 0:00-Overview 1:20-ReLU 3 ...
YouTube-The Ai Genome with Saksham Jain
Overview
ReLU
Advantages of ReLU
PreLU
ReLU Leaky ReLU Parametric ReLU Activation Functions Solved Example in Machine Learning by Mahesh Huddar The following concepts are ...
YouTube-Mahesh Huddar
Advantages of Radioactivation Function
Advantages of Leaky Radio
Limitations
Parametric Radioactivation Function
Advantages of Parametric Radioactivation Function
ReLU, short for Rectified Linear Unit, is an efficient activation function used in machine learning. This efficiency stems from its ...
YouTube-Stephen Blum
TL;DR: Take any regular grid, interpolate values for continuous-signal representation, APPLY RELU (or don't, it's up to you ;))!
YouTube-SmartGeometry
High-level summary
Introducing ReLU Fields
Optimizing 3D Scene Representation
Volumetric Rendering
Issues with MLPs
Traditional Voxel Grids
Traditional Interpolation
ReLU Field Configurations
Results: 3D Occupancy Fields
ReLU Activation Function - Rectified Linear Unit activation function - Deep Learning - #Moein. 268 views · 1 year ago ...more. Moein ...
YouTube-Moein Instructor
Relu Activation
Graph of the Rectified Linear Unit Activation Function
Graph for the Relay Activation Function
Activation Function
Vanishing Gradient Descent Problem
Nonlinear Activation Functions (Relu) is the mostly used activation functions in deep learning. This allows and makes it easy for the model ...
YouTube-Vivek Kumar