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Embark on a new frontier of AI with Lesson 3 of the "Understanding AI" course! In this lesson, I'll guide you through the process of expanding our neural network's capabilities by introducing multiple outputs. We'll transition from a single output to managing two, and eventually, four outputs, enabling the network to command the car to move in various directions.
Fear not if you're not familiar with advanced terminology - I'll simplify the concepts for you. What we're implementing here is known as a multilabel neural network, distinct from the multiclass neural network covered in my previous machine learning course: • Machine Learning Course
Unlike a multiclass network, our new creation can simultaneously instruct the car to go forward and left, opening up exciting possibilities.
Join me in this engaging session as we break down the barriers of neural network outputs, explore practical applications in car navigation, and delve into the nuances of multilabel networks. Whether you're a beginner or have some AI experience, this lesson is designed to broaden your understanding and empower you to navigate the complexities of artificial intelligence. 🚗🧠
🚗THE PLAYGROUND🚗
radufromfinland.com/projects/...
💬DISCORD💬
discord.gg/gJFcF5XVn9
⭐LINKS⭐
Machine Learning Course: • Machine Learning Course
Vanilla JavaScript Chart Tutorial: • Build a Chart using Ja...
Top-view Cars Clip: • BEST TOP VIEW ROAD TRA...
#MultilabelNeuralNetworks #UnderstandingAI #NeuralNetworkOutputs #AIPlayground #MachineLearningBasics #CarControlAI
⭐TIMESTAMPS⭐
00:00 Introduction
01:17 Going Backwards
04:15 Homework 5
04:51 Understanding 3 Inputs
21:00 Right-hand Rule Fails
21:37 Fine-tuning the Logic
26:36 Homework 6
32:15 Different Network Structure
41:27 Deep Neural Networks