🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network
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Updated
Mar 7, 2017 - Python
🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network
A collection of codes for 'how far can we go with MNIST' challenge
SSD implemention by Tensorflow 1.0
A pre-trained VGG for fine-tuning and usage in other networks
Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.
TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.
keras 2d image classification
Transfer Learning Lab with VGG, Inception and ResNet
Age and Gender Estimation Using Convolutional Neural Network
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Implementation on tensorflow fine tuning of generic CNN based model
Class-Weighted Convolutional Features for Image Retrieval
Transfer learning on VGG16 using Keras with Caltech256 and Urban Tribes dataset. Dark knowledge in transfer learning.
ImageNet pre-trained models with batch normalization for the Caffe framework
Implemented CAM in two versions. (keras backend, numpy)
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