Activation function

Neural networks [1.2] : Feedforward neural network - activation function

From playlist Neural networks class - Université de Sherbrooke

Activation Functions in Neural Networks (Sigmoid, ReLU, tanh, softmax)

#ActivationFunctions #ReLU #Sigmoid #Softmax #MachineLearning Activation Functions in Neural Networks are used to contain the output between fixed values and also add a non linearity to the output. Activation Functions play an important role in Machine Learning. In this video we discu

From playlist Deep Learning with Keras - Python

Why Activation Function and Which One Should You Use?

In this video, I have explained what is activation function and why we need them in a neural network. This is a beginner-friendly video so anyone can appreciate it. #neuralnetwork #deeplearning #activationfunction For more videos please subscribe - http://bit.ly/normalizedNERD Support

From playlist Learn Machine Learning Concepts

Sigmoid functions for population growth and A.I.

Some elaborations on sigmoid functions. https://en.wikipedia.org/wiki/Sigmoid_function https://www.learnopencv.com/understanding-activation-functions-in-deep-learning/ If you have any questions of want to contribute to code or videos, feel free to write me a message on youtube or get my co

From playlist Analysis

Neural Networks Pt. 3: ReLU In Action!!!

The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural Networks. However, the function itself is deceptively simple. This StatQuest walks you through an example, step-by-step, that uses the ReLU activation function so you can

From playlist StatQuest

What is an Injective Function? Definition and Explanation

An explanation to help understand what it means for a function to be injective, also known as one-to-one. The definition of an injection leads us to some important properties of injective functions! Subscribe to see more new math videos! Music: OcularNebula - The Lopez

From playlist Functions

Neural networks [2.5] : Training neural networks - activation function derivative

From playlist Neural networks class - Université de Sherbrooke

You MUST Harness the ‘Power of Intention’ When Learning Anything

The power of intention refers to the ability of a person to direct their thoughts and energy towards a specific goal or outcome. This concept is often associated with positive thinking and the law of attraction, which suggests that individuals can manifest their desires through the power o

From playlist Life Hacks

Understanding Activation Functions using ReLU

This video describes how the non-linearity of activation function helps in solving problems which would otherwise not be solvable using just linear functions. Author: Kumar Vishal References: - Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville - Issac Flath's blog - https:/

From playlist Summer of Math Exposition Youtube Videos

Deep Learning Lecture 3.4 - Backpropagation

Deep Learning Lecture - Backpropagation Algorithm for neural network training.

From playlist Deep Learning Lecture

Neural networks [2.4] : Training neural networks - hidden layer gradient

From playlist Neural networks class - Université de Sherbrooke

PyTorch Tutorial 12 - Activation Functions

New Tutorial series about Deep Learning with PyTorch! ⭐ Check out Tabnine, the FREE AI-powered code completion tool I use to help me code faster: https://www.tabnine.com/?utm_source=youtube.com&utm_campaign=PythonEngineer * In this part we learn about activation functions in neural nets.

From playlist PyTorch Tutorials - Complete Beginner Course

Johannes Schmidt-Hieber: Statistical theory for deep neural networks - lecture 1

Recorded during the meeting "Data Assimilation and Model Reduction in High Dimensional Problems" the July 22, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Luca Récanzone A kinetic description of a plasma in external and self-consistent fiel

From playlist Virtual Conference

Neural networks [1.4] : Feedforward neural network - multilayer neural network

From playlist Neural networks class - Université de Sherbrooke

Approximation with deep networks - Remi Gribonval, Inria

This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai

From playlist Mathematics of data: Structured representations for sensing, approximation and learning

What is Deep Learning | Deep Learning Explained | Deep Learning Tutorial For Beginners | Simplilearn

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=WhatIsNov18DeepLearning&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https://www.sim

From playlist Deep Learning Tutorial Videos 🔥[2022 Updated] | Simplilearn

Functions of equations - IS IT A FUNCTION

👉 Learn how to determine whether relations such as equations, graphs, ordered pairs, mapping and tables represent a function. A function is defined as a rule which assigns an input to a unique output. Hence, one major requirement of a function is that the function yields one and only one r

From playlist What is the Domain and Range of the Function