Coding Challenge #158: Shape Classifier Neural Network with ml5.js

Links discussed in this video:

Other videos mentioned in this video:

Timestamps:
0:00 Introduction
1:33 Generating the dataset in Processing
8:34 Create a ml5 neural network
10:54 Adding the data
12:39 About training the model
13:53 Test training
15:21 Training with full dataset
16:44 Improving the dataset
18:20 Saved model
19:01 Separate sketch for prediction
19:40 Loading the model
24:41 Mouse drawn shapes
31:01 Using a webcam and a notebook
33:49 Wrap up
34:33 What's next?

[deneb]

I just want to say thank you for this, a while ago I was trying to figure out how to build something to recognise Rune/Glyphs and had totaly hit a wall. This explained almost everything I'll need. Very Cool.

[Khoir]

If you want 100% circle: First, draw this head, then erase some of the more detailed features, and one, two, three, a circle, uh, thingy.

Man, you are pure awesomeness and energy. I remember a few years back when I started with p5js thanks to your coding trains, how I grew my first fractal tree. Now I come back and the energy is the same. Screw the algorithm, there is nothing to change here.

[scotttroyer]

circles
squares
3angles

Works for all shapes up to 9angles.

[micheledaffara]

It's awesome how 1 million people want to learn. Amazing work :D

[endyy]

Love these NN videos! One project that I think could be fun would be a neuroevolution based intelligence with multiple NNs/actors, all with a single fitness score. It could be interesting to see them evolve teamwork

[Zachucks]

Dan's energy is just so great, love learning from people that are so happily into what they do :)

[zaynababbaspour]

Your videos helped me pass my computing GCSEs in England. These energetic and informative videos saved me. Thank

[YuriyKlyuch]

This guy teaches! But seriously, thanks man, your work is amazing

[victap]

Love the enthusiasm and the sheer joy you show when presenting! Thank you for sharing your valuable knowledge!

[shubhang]

I love your energy and enthusiasm Choo-choo!

[justingolden]

After Neural Network November (NNN) ended, now we start the learning, I see how it is...

[max-yasgur]

If you’d like to be extra correct, # is called an octothorp 🤓.

WARNING: you may lose some friends or respect from colleagues.

[bedabeda]

Your energy and excitement ate insane! You are so cool :)

[Shinika]

Epic, Very good! Keep this serie for the long term please, you'll change life of some younger and create the passion we NEED to change our world!
Please, please!! DO MORE OF THAT and with time level up slowly.

One thing that's epic, is that you go from scratch ;) love it

[fernandosanchezvillanueva]

Great video, !! I trained my first model to classify 2D shapes two week ago. Now I found this video!! Its Amazing. :D

[covereye]

Can't believe you resorted to having a red circle in your thumbnail. Never thought you would get to that level of clickbait.

[vietnamgamer]

No clue who this guy is but honestly he’s a god at coding and a REALLY good teacher

[huili]

Love it, the debugging of the "true" string is interesting, sort of the love hate relationship to JavaScript. Again appreciated everything you do on coding train!

[ethancodes]

@14:15 This is why static typing exists :-). We need TypeScript support for ml5. And a series of TypeScript videos for The Coding Train!