SqueezeNet
Neural network architecture
Provides pre-trained models and training configurations for a deep neural network architecture optimized for image classification tasks
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
2k stars
107 watching
722 forks
last commit: over 7 years ago
Linked from 2 awesome lists
weiaicunzai/awesome-image-classification
michaelxin/awesome-caffeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 nihui/ncnn-android-squeezenet | A sample Android project that uses the NCNN library for image classification on ARM-based devices. | 159 |
 jhkim89/pyramidnet | A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models. | 129 |
 d-li14/regnet.pytorch | An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
 bruinxiong/modified-crunet-and-residual-attention-network.mxnet | An MXNet implementation of a modified deep neural network architecture for image classification | 67 |
 microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 468 |
 rcmalli/keras-squeezenet | An implementation of the SqueezeNet neural network model in the Keras framework | 404 |
 gsp-27/pytorch_squeezenet | A PyTorch implementation of the Squeezenet model with pre-trained weights on CIFAR 10 data for deep learning tasks. | 91 |
 taki0112/senet-tensorflow | A TensorFlow implementation of Squeeze and Excitation Networks for image classification tasks | 757 |
 shicai/densenet-caffe | Provides pre-trained neural network models based on DenseNet architecture, converted from Torch format to Caffe model for use in deep learning applications. | 357 |
 focalnet/networks-beyond-attention | A collection of modern neural network architectures for computer vision tasks that don't use self-attention mechanisms. | 77 |
 songhan/deep-compression-alexnet | This project demonstrates a method to compress the size of a neural network model without sacrificing accuracy. | 661 |
 attractivechaos/kann | A lightweight C library for constructing and training small to medium neural networks with customizable architecture | 689 |
 kaiminghe/resnet-1k-layers | Represents a neural network architecture with 1K layers, designed for image recognition tasks. | 909 |
| bruinxiong/senet.mxnet | An implementation of Squeeze-and-Excitation Networks in MXNet for image classification tasks. | 155 |
 dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |