TensorFlow version of SqueezeNet with converted pretrained weights
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Updated
Mar 11, 2017 - Python
TensorFlow version of SqueezeNet with converted pretrained weights
SqueezeNet Keras demo
Behavior cloning of driving a car on a track
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Implementation of SqueezeNet with Keras and TensorFlow.
low level tensorflow implementation of squeezenet
A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.
Keras implementation of several CNN models.
Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Model compression methods applied to the monocular depth estimation network by Godard et al.
SqueezeNet Implementation in TensorFlow 1.10
Deep Learning Networks for Image Classifier deployed on a Raspberry Pi 3
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
Facebook AI Performance Evaluation Platform
This repository contains a Keras implementation of SqueezeNet for vehicle classification.
Please see dev branch for latest improvements! TensorFlow version of improved "A Neural Algorithm of Artistic Style"
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