johnny-five VS Keras

Some times ago I have played with johnny-five, a JavaScript Robotics & IoT platform. In short words, we can communicate with our Arduino or Raspberry by using JavaScript with a very friendly syntax.

The library Johnny-Five is a Javascript library that allows you to control Arduino and other microcontrollers using Javascript. It is very easy to use and it has a lot of examples that you can use to learn how to use it.

+Here is the platform used to program the board http://johnny-five.io/

I decided to use the Johnny-Five JavaScript framework for this. After installing it , I started by declaring a few variables and instantiating the transmitter board.

IOT is the internet of things. That loosely means - interconnected devices that aren't your standard "computer." You can totally do that with JS and a little computer like an Arduino. You can use https://johnny-five.io/ or something... but I'm talking about - a year from now -

here it the project's github: https://github.com/rwaldron/johnny-five

Johnny Five seems like a neat project for that bit. What I'm trying to find is a library for using the camera bit. Sorry if my original question wasn't specific enough. I'll try to clarify here.

Start here: http://johnny-five.io/

I am trying to put Firmata on ESP32 and connect it to the johnny-five lib (or any other JS client). I managed to put official Firmata and other forks related to ESP32, but it doesn't work (build+upload succeed), but I'm getting "ready" from the device.

After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow.

All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467

You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/

I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?

Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.

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I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them.

Keras documentation: https://keras.io/

3. Keras Keras is a high-level neural networks API written in Python that’s built on top of TensorFlow. It’s designed to enable fast experimentation with deep learning, allowing you to build and train models with just a few lines of code. If you’re new to deep learning or just want a more user-friendly interface, Keras is the way to go.