Learning to generate lyrics and music with Recurrent Neural Networks
A post showing an application of RNN-based generative models for lyrics and piano music generation.
Fully Convolutional Networks (FCNs) for Image Segmentation
A post showing how to perform Image Segmentation using Fully Convolutional Networks that were trained on PASCAL VOC using our framework.
Tfrecords Guide
A post showing how to convert your dataset to .tfrecords file and later on use it as a part of a computational graph.
Image Segmentation with Tensorflow using CNNs and Conditional Random Fields
A post showing how to perform Image Segmentation with a recently released TF-Slim library and pretrained models. It covers the training and post-processing using Conditional Random Fields.
Upsampling and Image Segmentation with Tensorflow and TF-Slim
A post showing how to perform Upsampling and Image Segmentation with a recently released TF-Slim library and pretrained models.
Image Classification and Segmentation with Tensorflow and TF-Slim
A post showing how to perform Image Classification and Image Segmentation with a recently released TF-Slim library and pretrained models.
Google Summer of Code: Implementing the training part of face detection
Here I will go into the details of implementing the training part of face detection algorithm and the difficulties that I faced.
Google Summer of Code: Creating Training set.
I describe a process of the creating a dataset for training classifier that I use for Face Detection.
Google Summer Of Code: Optimizmizing existing code. Creating object detection module.
The post describes the steps that were made in order to speed-up Face Detection.
Google Summer of Code: reading OpenCv trained file. Building detector.
A post about how I read the OpenCv trained file and implemented a prototype of detector.