Tools to Design or Visualize Architecture of Neural Network
-
Updated
Jan 28, 2024
Tools to Design or Visualize Architecture of Neural Network
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
用PaddlePaddle和Tensorflow实现常用的深度学习算法
ImageNet pre-trained models with batch normalization for the Caffe framework
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
InceptionTime: Finding AlexNet for Time Series Classification
Finetuning AlexNet, VGGNet and ResNet with TensorFlow
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)
an implement of AlexNet with tensorflow, which has a detailed explanation.
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
Alzheimer's Disease Prediction by using ResNet, AlexNet
Artificial Intelligence Learning Notes.
Deep Learning code
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
tensorflow_alexnet_classify (details http://www.cnblogs.com/vipyoumay/p/7686230.html)
用python做计算机视觉,人工智能,机器学习,深度学习等
Interactive Image similarity and Visual Search and Retrieval application
Add a description, image, and links to the alexnet topic page so that developers can more easily learn about it.
To associate your repository with the alexnet topic, visit your repo's landing page and select "manage topics."