freeCodeCamp.org
This full course introduces the concept of client-side artificial neural networks. We will learn how to deploy and run models along with full deep learning applications in the browser! To implement this cool capability, we’ll be using TensorFlow.js (TFJS), TensorFlow’s JavaScript library.
By the end of this video tutorial, you will have built and deployed a web application that runs a neural network in the browser to classify images! To get there, we’ll learn about client-server deep learning architectures, converting Keras models to TFJS models, serving models with Node.js, tensor operations, and more!
This course was created by deeplizard. Check out their YouTube channel and website for more tutorials! ?
http://youtube.com/deeplizard
http://deeplizard.com
⭐️Course Sections⭐️
⌨️ 0:00 – Intro to deep learning with client-side neural networks
⌨️ 6:06 – Convert Keras model to Layers API format
⌨️ 11:16 – Serve deep learning models with Node.js and Express
⌨️ 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:
VGG16 – https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg16_weights_tf_dim_ordering_tf_kernels.h5
MobileNet – https://github.com/fchollet/deep-learning-models/releases/download/v0.6/mobilenet_1_0_224_tf.h5
Code:
https://www.patreon.com/posts/19580029
Broadcasting notebook:
https://www.patreon.com/posts/20051386
Download access to code files and notebooks are available as a perk for the deeplizard hivemind. Check out the details regarding deeplizard perks and rewards at: http://deeplizard.com/hivemind
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
YouTube: https://www.youtube.com/channel/UCSZXFhRIx6b0dFX3xS8L1yQ
Website: http://incompetech.com/
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/
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Source
3rd
But please can you make one with Python
Pleas tensorflow python full couse
Thanks for watching! ?
Come check out more from deeplizard at:
http://youtube.com/deeplizard
http://deeplizard.com
Finally, ML for JavaScript developers! Many thanks to FCC 😀
Amazing! Love the TensorFlow.js! Very detail and well-organized videos. Even beginner can follow easier and understand the tools very well. Thank you!
Very interesting. Thank you!
I am searching for this all over youtube today and here it is. thank u
Why include jquary and bootstrap just to do Ai in the browser I stop watching the video because you aren't demonstrating the pure power of node & JavaScript you also didn't need express for this.
Hi!
I couldn't install tensorflow with Python 3.7.1!
I got the error message in terminal:
pip install tensorflow
Collecting tensorflow
Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow.
I tried to install with Python 3.6 version but got the same error.
Could you tell what might be the cause of that?
Thanks!
Do i need to learn anything else before watching this vid?
Any Java learning videos ?
Finally, wow
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.
Hi @deeplizard this is such an awesome series! I have tried following along, and am running into the following issue, https://github.com/tensorflow/tfjs/issues/218. Have you seen this before?
Can you make a video for a lstm with keras?
best video channel on youtube. descriptive and easy to understand. loads of thanks from sri lanka <3 🙂
Thank you, can you guys also make a tutorial on tensorflow for python
Damn, the clicking of the keys while you debug is soooooooo 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.
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?
ur voice is so sweet
and ur vid is nicer
What the fuck's? They have a tensor flow JS?!
does the python version matter for pip install?