Intro to Machine Learning & Neural Networks. How Do They Work?
On this lesson, we’ll focus on machine studying and neural networks. We’ll be taught concerning the general matter of synthetic intelligence (AI), with machine studying (ML) being a subset of AI. Neural networks are then a subset of machine studying. Neural networks are a way the place a pc community performs a activity with out human intervention and trains and improves over time. Functions are in synthetic common intelligence, finance, speech recognition, picture recognition, self driving automobiles, and extra. We’ll focus on the networks weights and biases and learn the way an actual neural community operates and the way it’s educated.
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00:00:00 Introduction
00:01:23 Functions of Machine Studying
00:10:40 Distinction Between AI, ML, & NNs
00:15:36 NNs Impressed by the Mind
00:20:38 What’s a Mannequin?
00:25:34 Coaching Strategies
00:31:38 Neural Community Structure
00:39:22 Enter and Output Layers
00:48:00 Neuron Connections
00:57:08 Evaluate of Features
01:05:52 Neuron Weights and Biases
01:09:37 Writing Neuron Equations
01:19:34 Equations in Matrix Type
01:31:33 Easy methods to Prepare NNs?
01:37:00 The Loss Perform
