Welcome back to Machine Learning Guide. I'm your host, Tyler Rinelli.

MLG teaches the fundamentals of machine learning and artificial intelligence.

It covers intuition, models, math, languages, frameworks, and more.

Where your other machine learning resources provide the trees, I provide the forest.

Visual is the best primary learning modality, but audio is a great supplement during exercise commute and chores.

Consider MLG your syllabus with highly curated resources for each episode's details at OCdevel.com forward slash MLG.

I'm also starting a new podcast which could use your support. It's called

Lefnear's Life Hacks and teaches productivity focused tips and tricks, some which could prove

beneficial in your machine learning education journey. Find that at Ocdevel.com forward slash

LLH. This is episode nine, deep learning.

Hello and welcome back to the machine learning guide, and this is the episode that you've all been waiting for, even if you didn't know you've been waiting for it, deep learning and artificial neural networks.

This is the very exciting stuff that's happening in the world of

machine learning in 2017. When you see on hacker news or just the actual news, artificial

intelligence and machine learning being applied to new and innovative spaces, it's almost

always deep learning they're talking about neural networks.

If you have any sort of background interest in machine learning prior to embarking on this

podcast, then you've already had your ears perked to deep learning and maybe wondering what

neural networks are all about.

If this podcast is maybe your first introduction to machine learning, well then just keep your ears

perked because this is the stuff that's the most interesting in the space right now.

Now I keep saying deep learning and neural networks. They're slightly different. First off,

remember everything in machine learning is hierarchical. We start with AI that's broken down into machine learning

...