This page provides links to imagebased examples using TensorFlow.
(Stay tuned, as I keep updating the post while I grow and plow in my deep learning garden:). Also, if you find a dead link, please email me –you can find my email address from the About page, which has a link to my academic website.)
 Fully Convolutional Networks (FCNs) for Image Segmentation (Jan 23, 2017)
Image Segmentation framework based on Tensorflow and TFSlim library (GitHub repo) – uptodate
 Image Segmentation with Tensorflow using CNNs and Conditional Random Fields (Dec 18, 2016)
 Upsampling and Image Segmentation with Tensorflow and TFSlim (Nov 22, 2016)
 Image Classification and Segmentation with Tensorflow and TFSlim (Oct 30, 2016)
 Tfrecords Guide (Dec 21, 2016) – this post is pretty good, it has example about extract object boundary from images.
 subpixel: A subpixel convolutional neural network implementation with Tensorflow

Image Completion with Deep Learning in TensorFlow (August 9, 2016)
 How to Classify Images with TensorFlow (google research blog, tutorial)
 TensorFlow tutorials of imagebased examples on GitHub – where cifar10 contains how to train and evaluate the model.
CIFAR10 is a common benchmark in machine learning for image recognition.
http://www.cs.toronto.edu/~kriz/cifar.html
Code in this directory demonstrates how to use TensorFlow to train and evaluate a convolutional neural network (CNN) on both CPU and GPU. We also demonstrate how to train a CNN over multiple GPUs.
Detailed instructions on how to get started available at:
http://tensorflow.org/tutorials/deep_cnn/
 SketchToFace (Its GitHub repo)