YoVDO

How Many Hidden Layers and Neurons Do You Need in Your Artificial Neural Network?

Offered By: DigitalSreeni via YouTube

Tags

Neural Networks Courses Linear Regression Courses Linear Equations Courses

Course Description

Overview

Explore the process of determining the optimal number of hidden layers and neurons for artificial neural networks in this 24-minute video tutorial. Learn how data characteristics influence network architecture decisions, and follow along with simple code examples to understand the thought process behind these crucial choices. Download the provided dataset and access the complete code from the tutorial to practice implementing these concepts in your own projects.

Syllabus

Intro
Linear equation
Linear regression
Dense layer
How many hidden layers
How many neurons


Taught by

DigitalSreeni

Related Courses

Statistics: Making Sense of Data
University of Toronto via Coursera Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax Statistical Learning with R
Stanford University via edX The Analytics Edge
Massachusetts Institute of Technology via edX Regression Models
Johns Hopkins University via Coursera