Huseyin ABANOZ

Objective Transfer Learning technique is used when the dataset is not of sufficient size. It is common to fine tune a network which is pre-trained on large datasets like Imagenet for classification tasks. For further information, the reader is advised to refer to CS231N by Standford . A framework for general purpose transfer learning is proposed. This framework is developed for my MSc. thesis study and made publicly available to let researchers make use of it. Using this framework, the researcher will easily be able to fine-tune a network for a classification task. Audience This article can be useful for anyone seeking information about transfer learning implementation. Python knowledge is required to make use of the supplied code. Introductory information about Keras , a deep learning API, is necessary. Also in order to run the code, a proper deep learning system with a decent graphics card (GPU) with CUDA Compute Capability 3.0 or higher   is necessar...

Dlib is a popular library. It can be used for face detection or face recognition. In this article I will use it for facial landmark detection. Facial landmarks are fecial features like nose, eyes, mouth or jaw. Start with installing Dlib library. Dlib requires Lib Boost. sudo apt-get install libboost-all-dev Now we can install Dlib. sudo pip install dlib Following example uses PIL and numpy packages. Instead of Pillow it is possible to use skimage package. pip install Pillow pip install numpy Note that in order to detect facial landmarks, a previously trained model file is needed. You can download one from Dlib site. Download model file from this link : http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 After download is completed, extract the archive and make sure its location is correctly referenced in the source file. The application first tries to detect faces in the given image. After that for each face it tries to detect landmarks. For ...

An Ubuntu Deep Learning System A.                     Install latest Nvidia drivers 1-       Run following  commands  to add latest drivers from PPA. sudo add-apt-repository ppa:graphics-drivers/ppa sudo apt update 2-       Then use Ubuntu  Software &Updates  Additional Drivers application to update your driver. For my GTX-1070 I chose driver with version 384.69. 3-       After installation Restart your PC. You may need to disable safe boot using bios menu. 4-       Run following command to ensure that drivers are installed correctly. lsmod | grep nvidia 5-       İf you have issue with the new driver remove it with following command. sudo apt-get purge nvidia* For more information see: https://askubuntu.com/questions/...