A friendly introduction to Deep Learning and Neural Networks

Really beautiful video

You sir are a saint. I will hereby refer to you as Saint Serrano.

Omg genius for making this so simple for beginners! Thank you!!

really good

Incredible presentation. Thanks for sharing and breaking it down.

I did not understand a word of his math explanation

Very well explained 👍

mind blowing. thanks

An unbelievably excellent job explaining. Thank you.

Thanks for this nice introduction! I didn't understand how you get the penalty..e.g. 2.3 which is -log(0.1), but -log(0.1) is 1?

Thank you very much.

This is the best explanation of NNs I have ever watched. Thankyou so much for posting such quality content.

jesus,your explanation of neural networks was very much understandable and in layman terms.Thank you so much :)

Clear and crisp! Perfectly explained

Lastly I got lastly I got

What application did you use to create this visualization/explanation in this video?

Excellent.

Ah... watched this a couple of times but still don't understand the concept of neural networks :/ ... I can never learn it :(

Awesome. Explained so well

Would you like to adjust your voice louder? I apreciate your lecture very much.

This is so good, it illustrates clearly now an n-dimensional arbitrary shape in the data can be defined by the lines specified by neuron pairs. That shape specifies something the enclosed/defined data have in common. I loved it.

You have explained so many foundational insights and distilled multiple concepts in deep learning and artificial neural networks all in one video of just around half an hour. You are amazing. I feel like have a unique perspective on deep learning now and can grasp higher concepts. Thank you Luis.

Isn't 7*0.7 + 5*0.7 - = 2.9, a linear representation of a non-linear function (the chart of the right hand side with the curved area). What is the correct representation for non-linear function?

for the shaded blue to red: why use log instead of just using the product of the penalties?

Brillant

ur are marvellous in teaching..

really brilliant and amazing, I felt that I'm walking like a scientist and discover everything, really thanx

Excellent video. Skipped through a few ones before landing on this one and deciding it was the one I wanted to watch. Cheers, also in Toronto 🙌

The best explanation of NN I encountered till today.

🎉🎉🎉🎉🎉

Again the best one. Which sw do you use to make beautiful animations. Really great.

This was the great visualization (with succinct explanation) of basic neural network function that I was looking for! Thank you very much.

Best video that I've found on this topic so far, keep up the good work! A big thank you from me!

Best hidden layer concept explanation.

Please do more. This was really helpful.

this is beautiful man

Just want to leave a comment so that more people could learn from your amazing videos! Many thanks for the wonderful and fun creation!!!

Here in 2024 and been trying to wrap my brain around this stuff for a couple years. Your vids have absolutely made it all click. Well done and many thanks!

Great explanation sir...

Amazing astonishing😊😊

Can we try a other way (Counting the points) 1) Finding the center of mass of the points 2) Draw any line passing through those points 3) Rotate the line few angles till we get maximum number of points on one side 4) Finally shift the line to get the maximum number of points on one side. .... Here we won't have to calculate the distance.

Beautiful explanation brother! 7 years later and still one of the best explanations

Greate job. thank you

wonderful explanation... thanks a lot

thanks for the great video