Learn TensorFlow.js - Deep Learning and Neural Networks with JavaScript

This course was created by deeplizard. Check out their YouTube channel and website for more tutorials! 🦎

⭐️Course Sections⭐️
⌨️ 0:00 - Intro to deep learning with client-side neural networks
⌨️ 6:06 - Convert Keras model to Layers API format
⌨️ 19:22 - Building UI for neural network web app
⌨️ 27:08 - Loading model into a neural network web app
⌨️ 36:55 - Explore tensor operations with VGG16 preprocessing
⌨️ 45:16 - Examining tensors with the debugger
⌨️ 1:00:37 - Broadcasting with tensors
⌨️ 1:11:30 - Running MobileNet in the browser

Keras model H5 files:

Code:
Broadcasting notebook:

Music:
Jarvic 8 by Kevin MacLeod
Investigations by Kevin MacLeod
Crypto by Kevin MacLeod
Too Cool by Kevin MacLeod
Brittle Rille by Kevin MacLeod
Chillin Hard by Kevin MacLeod
Dreamy Flashback by Kevin MacLeod
Thinking Music by Kevin MacLeod
Licensed under Creative Commons: By Attribution 3.0 License

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[jkhhahahhdkakkdh]

Warning: in case if you want to jump on this, please note that the tutorial is outdated. You will need to use newer functions as some have been deprecated with the newer tensorflow 2.0. Also, remember that you might need "cors" . But overall, it is a great video and lot of explanation to help you out in the future.

[amanlearnscode]

Finally, ML for JavaScript developers! Many thanks to FCC :D

[SpiritualFacts]

I am searching for this all over youtube today and here it is. thank u

[jacqueswilliam]

one of the most beautiful thing about being alive...is to watch an artist who loves what she does

[mudzingwajonah]

I have to admit you are very good at explaining ma'am, you make things intuitive

[injdcmt]

The presentation of the material is just awesome!

[nuwanrathnayaka]

best video channel on youtube. descriptive and easy to understand. loads of thanks from sri lanka <3 :-)

[MrAbhay]

This is too good, you've got a fan.

[oattao]

Where can I download the code of this tutorial? The given links not work.

[adityakadam]

very well explained... thanks for sharing it.

[adamwhitehurst]

Damn, the clicking of the keys while you debug is satifying. Was that an postprocessing effect of just through the microphone while recording?

Also, I love how you cleverly sneak in some accessory, advanced concepts, like working tree diffs, in such intuitive ways.

[radovansurlak]

Thank you so much for the tutorials guys

[FordExplorer-rmew]

Like the voice like the format thx frens

[hisdalon]

half way through and did everything as the video, but I can't manage to predict even before the image processing

[ShermanSitter]

I thought I heard a different word at 4:35. it would have been epic just throwing in there. :)

[paulbrooks]

After trying out a few JS machine learning frameworks I now understand why Machine learning isn't for JS. It simply doesn't work well enough with the the language to do anything worthwhile.

[rafilalars]

Thank you very much for your videos, I will appreciate if you prepare a video talk about the differences between layer type and the use cases for each and please focus on lstm design network.

[naveenhettiwaththa]

Can you make a video for a lstm with keras?

[Srichkra]

Very nice video and good explanation. But I am not able to download the code. Could you please help...

[festaazul]

Firstly, thank you very much for putting this video up! This is really helpful.
However, I'm receiving an error in predict.js when I run the tf.loadModel(.... i get an error " TypeError: Cannot read property 'model_config' of null"
And I noticed that after converting the hf5 data model using tensorflowjs_converter, that modelTopology key in the model.json file is blank.

Who can I reach out to for support?