goro
A high-level machine learning library for Go with a Keras-like API, built on Gorgonia.
What is goro?
Goro is a high-level machine learning library for Go that provides a Keras-like API for building and training neural networks. It simplifies the process of creating complex models by offering an intuitive, sequential interface and pre-built layers, built on top of the Gorgonia tensor library. The library aims to make machine learning in Go more accessible and productive for developers familiar with Python's Keras.
Go developers who want to implement machine learning models without dealing with low-level tensor operations, particularly those transitioning from Python's Keras ecosystem.
Developers choose Goro because it brings the familiar, high-level API of Keras to Go, reducing the learning curve for ML in Go while leveraging Gorgonia's performance. It's specifically designed for Go developers who want productive ML workflows without switching to Python.
Overview
A High-level Machine Learning Library for Go
Use Cases
Best For
- Building convolutional neural networks (CNNs) for image classification in Go
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