Community presentation

Introduction to Deep Learning

Create a 10-slide teaching presentation titled **“INTRODUCTION TO DEEP LEARNING: FROM PERCEPTRONS TO NEURAL NETWORKS”** for beginner students. Use a clean classroom-friendly des…

Shared by Sudip ParajuliJul 31, 20263 views1 likes10 slides

Create your own version

Use this visual direction as inspiration for a new Presenton deck.

Use this design

Slide 01

Slide 02

Slide 03

Slide 04

Slide 05

Slide 06

Slide 07

Slide 08

Slide 09

Slide 10

Creator prompt

The idea behind this presentation

Create a 10-slide teaching presentation titled **“INTRODUCTION TO DEEP LEARNING: FROM PERCEPTRONS TO NEURAL NETWORKS”** for beginner students. Use a clean classroom-friendly design with a light background, dark text, blue and purple accents, large readable fonts, simple diagrams, minimal text, and step-by-step animations. Avoid dense technical content and explain every concept in simple language. Slides: 1. **What Is Deep Learning?** — simple definition and real-world examples 2. **How the Human Brain Inspires AI** — neurons, inputs, signals, and outputs 3. **The Perceptron** — inputs, weights, bias, and activation function 4. **How a Perceptron Makes a Decision** — show a simple numerical example 5. **Activation Functions** — Step, Sigmoid, ReLU, and why they are needed 6. **From One Perceptron to a Neural Network** — input, hidden, and output layers 7. **Forward Propagation** — how information moves through the network 8. **Learning from Errors** — loss function, backpropagation, and weight updates 9. **Training a Neural Network** — dataset, epochs, learning rate, and overfitting 10. **Recap and Classroom Activity** — summarize key concepts and include a short quiz Use labeled diagrams, arrows, simple formulas, practical examples, and small classroom activities. Add speaker notes explaining each slide in simple teaching language. Do not invent statistics or use overly complex mathematics.