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A modular expandable Pytorch model.py to predict sine wave values. It meticulously processes data, builds and optimizes a model, plots data and results, and supports varying the model for efficiency using Hyperparameters

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Modelling-for-sin-wave-function

A pytorch translation of his comprehensive TensorFlow script that guides through creating, training, and evaluating a model to predict sine wave values. The scripts meticulously processs data, builds and optimizes a model, plots data and results. See also Intro to TinyML Part 1: Training a Neural Network for Arduino in TensorFlow | Digi-Key Electronics https://www.youtube.com/watch?v=BzzqYNYOcWc&t=0s

Intro to TinyML Part 2: Deploying a TensorFlow Lite Model to Arduino | Digi-Key Electronics https://www.youtube.com/watch?v=dU01M61RW8s&t=446s

In this tutorial series, Shawn introduces the concept of Tiny Machine Learning (TinyML), which consists of running machine learning algorithms on microcontrollers.

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A modular expandable Pytorch model.py to predict sine wave values. It meticulously processes data, builds and optimizes a model, plots data and results, and supports varying the model for efficiency using Hyperparameters

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