tiny-dnn is a header only, dependency free deep learning library written in C++. It is designed to be used in the real applications, including IoT devices and embedded systems.
Table of Contents¶
Examples(Link to github):
- MNIST image classification
- Cifar-10 image classification
- Deconvolutional Auto-encoder
- Importing Caffe’s model into tiny-dnn