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 22, Deep NLP Part 1.

At last, we're finally here.

Deep Natural Language Processing.

It has taken us so long.

I apologize for that.

We're going to discuss recurrent neural networks, R&Ns,

Word Tuvec, and Word embeddings,

and various architecture details

like the LSTM, long, short-term memory, and GRU-gated recurrent unit cells.

After preparing for this episode, I realize indeed this is going to be a multi-parter.

So we'll just see how far we get in this first episode.

Deep Natural Language Processing.

I've mentioned it before.

...