xylcbd/EasyCNN
easy convolution neural network
This framework helps developers quickly build and experiment with basic Convolutional Neural Networks (CNNs) for image classification and similar tasks. It takes raw image data and network configurations, then outputs a trained model capable of categorizing new images. It is ideal for C++ developers looking to implement fundamental deep learning models without external dependencies.
168 stars.
Use this if you are a C++ developer who needs a lightweight, self-contained CNN implementation for basic image recognition problems, such as digit classification.
Not ideal if you require advanced deep learning features like recurrent layers, complex architectures, or GPU acceleration, or if you prefer a language other than C++.
Stars
168
Forks
52
Language
C++
License
—
Category
Last pushed
Dec 25, 2025
Commits (30d)
0
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