MnasNet-caffe
Neural net search
An implementation of a deep neural network architecture search method for mobile devices using the Caffe framework.
A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
52 stars
4 watching
27 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Re-implementation of a neural network model with batch normalization and customized training parameters. | 131 |
| An implementation of a neural network architecture for image classification using the Caffe framework. | 169 |
| A C++ interface to the caffe deep learning framework, providing a convenient entry point for developers to build and deploy neural networks. | 15 |
| Provides pre-trained neural network models based on DenseNet architecture, converted from Torch format to Caffe model for use in deep learning applications. | 357 |
| A Caffe implementation of Google's MobileNets, providing pretrained models on ImageNet for image classification tasks | 1,260 |
| An implementation of a neural network architecture search algorithm optimized for mobile devices. | 271 |
| Enables conversion and optimization of neural networks between Keras and Caffe frameworks | 6 |
| A C++ implementation of a deep learning framework designed for speed and modularity. | 59 |
| An implementation of ShuffleNet V2 as a deep learning model in Caffe2 for computer vision tasks | 25 |
| An implementation of a computationally efficient deep neural network architecture designed for mobile devices with limited computing power. | 383 |
| An implementation of a neural network from scratch using Cairo 1.0 for MNIST predictions | 10 |
| An efficient convolutional neural network implementation for mobile devices | 448 |
| A Caffe implementation of the MobileNet SSD detection network | 2,036 |
| A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. | 900 |
| An implementation of MnasNet architecture in Keras for TensorFlow using Python | 99 |