itsubaki/neu
Deep Learning framework for Go from scratch
This is a deep learning framework designed for Go developers who want to build and train neural networks using only the standard Go library. It takes raw data, like image pixels (MNIST) or character sequences (Seq2Seq for addition), and outputs trained models capable of classification or sequence prediction. This is for Go developers who need to implement deep learning capabilities in their applications without external dependencies.
Use this if you are a Go developer building deep learning models from scratch and require a pure Go implementation without external dependencies.
Not ideal if you are looking for a high-level API for deep learning in Go, or if you are not a Go developer.
Stars
8
Forks
1
Language
Go
License
MIT
Category
Last pushed
Dec 01, 2025
Commits (30d)
0
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