On this page you can find studies in the field of Deep Learning and Machine Learning (blog post, video lessons, scientific articles, codes, data) in Türkiye.
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Contents
Basic issues
- BASIC: Let's open this black box: artificial neural networks (Merve Ayyüce Kızrak)
- Motivation: The Story of Artificial Intelligence and Deep Learning (Merve Ayyüce Kızrak)
- Deep Learning Start Set - Hardware and Software (Arda Blue)
- Artificial Intelligence - Birth of Machines that think and produce (Arda Blue)
- Learning in Human and Machine (Arda Blue)
- Image and Number Series on Computer (Arda Blue)
- Deep Learning 1 (Birol Jewelery)
- Deep Learning 2 (Birol Jewelery)
- Deep Learning 3 (Birol Jewelery)
- Deep Learning, Artificial Intelligence and Computer Science (Burak Bayramli)
- Machine learning is fun (Özgür Şahin)
- Machine learning is fun 2 (Atakan Yenel)
- What is the machine learning? (Halil İbrahim Şafak)
- Machine Learning 101 (Seray Beşer)
- Deep Learning 101 (Seray Beşer)
- Machine Learning Mathematics (Seray Beşer)
- Guide to Being a Data Scientist (Şefik İlkin Serengil)
- Python: Programming from Zero to Expertise (Kaan Can Yılmaz)
- Data Science and Python (Kaan Can Yılmaz)
- DATA VİSUALization (Kaan Can Yılmaz)
- Machine learning (Kaan Can Yılmaz)
Algorithms
Tips for algorithms
- The most commonly used hyper-parameters in deep learning applications (Necmettin Çarkacı)
- SUCCESS IN DEEP LEARNING APPLICATIONS (Necmettin Çarkacı)
Artificial Neural Networks (Artificial Neural Networks)
- INTRODUCTION TO Artificial Neural Networks (Arda Blue)
- Artificial Neural Networks (Birol Akan Esen)
- Artificial neural networks Basic concepts: Perceptron, Score Function and Error Calculation (Loss Function) (Necmettin Çarkacı)
- Neural Networks: To learn from past mistakes (Şefik İlkin Serengil)
- Neural Networks Learning Algorithm Review Guide: Refund Algorithm (Şefik İlkin Serengil)
- NURAL NETWORK (Seray Beşer)
- PERCEPER (PERCEPTRON (P)) (Seray Beşer)
- FEED FORWARD (FF)) (Seray Beşer)
- Recurrent Nerve Network (RNN) (RNN) (Seray Beşer)
- Deep Freed (DFF) (DFF)) (Seray Beşer)
- Long / short -term memory (Long / Short Term Memory (LSTM)) (Seray Beşer)
- Radial Basis Network (RBF)) (Seray Beşer)
- GATED Recurrent Unit (GR)) (Seray Beşer)
- Auto encoder (Auto Encoder (AE)) (Seray Beşer)
- Variational Automatic Coder (VAE) (VAE)) (Seray Beşer)
- Noise relieving Automatic Coder (DAE) (Seray Beşer)
- Sparse Automatic Coder (SAE) (SAE) (Seray Beşer)
- Markov Chain (Markov Chain (MC)) (Seray Beşer)
- Hopfield Network (Hn) (HN)) (Seray Beşer)
- Boltzmann Machine (Boltzmann Machine (UN)) (Seray Beşer)
- Restricted Boltzmann Machine (Rastricted UN (RBM)) (Seray Beşer)
- Deep Belief Network (DEEP BELİFEF NETWORK (DBN)) (Seray Beşer)
- Convolutional Neural Network (CNN)) (Seray Beşer)
Convolutional Neural Networks)
- A Deep Comparison: Inception and Res-Net Performs (Connection will be updated!) (Merve Ayyüce Kızrak)
- Deep deeper: evolving nervous networks (Merve Ayyüce Kızrak)
- Entrance to evolution nervous networks (Arda Blue)
- Study on MNIST Data with Tensorflow -based Keras (Erdogan Bavas)
- A short entrance to convolial neural networks (Şefik İlkin Serengil)
- Learning Transfer: Use of Inception V3 with Keras (Şefik İlkin Serengil)
Capsule Networks)
- Great Innovation in Artificial Intelligence: Capsule Networks (Merve Ayyüce Kizrak)
Contemporary Manufacturer Networks (Generative Adversarial Networks)
- Generative Adversarial Networks - What is Gan? (Turkish) (Muhammad Buyukkınacı)
Autocoders (Autoencoders)
- Artificial Neural Networks: Autoencoders (Faruk Eroğlu)
- AUTOENCODER (Seray Beşer)
- DENOising Autoencoder (Seray Beşer)
- Sparse Automatic Coder (Sparse Autoencoder) (Seray Beşer)
- Variational Autoencoder) (Seray Beşer)
Uses
Natural Language Processing)
- Emotion Analysis with Keras (Birol Jewelery)
- First steps in Turkish text processing (İlker Birbil)
Cyber Security (Cyber Security)
- Determination of Disposed Service attacks using deep learning technologies (Ferhat Özgür Çatak, Ahmet Fatih Mustaçoglu)
Computer Vision
- Optical Character Recognition, Writing Recognition.
- Yolo: Real -Time Object Detection Library (Darknet) Installation (Yavuz Kömeçoğlu)
- How do we ensure the perception of our own private person or object in Yolo? (Yavuz Kömeçoğlu)
- How to improve mobile application recognizing images? (Özgür Şahin)
- Develop a mobile application that classifies image in 10 minutes (Özgür Şahin)
Frameworks
Caffe
- Caffe Guide - Working Guide with Caffe with all the details (Birol Kuyumcu)
- Practical Caffe Usage (Birol Jewelery)
- Caffe Fine Tuning: Using Caffe with your own data (Yavuz Kömeçoğlu)
- Caffe Installation for Windows Operating System (Mesut Pişkin)
Miracle
- Introduction to Keras-1 (Birol Jewelery)
- Introduction to Keras-2 (LSTM) (Birol Jewelery)
- Keras Turkish Documentation (Kemalcan Bora)
- Keras Installation (İbrahim Delibaşoğlu)
- Classification of Sonar Data with Keras (İbrahim Delibaşoğlu)
Tensorflow
- Introduction to Deep Learning with Tensorflow (Emre Durukan)
- UNDERSTANDING TENSORFLOW (M.Cemil Güney)
- TENSORFLOW TURKISH TRAINING Documents (Ayse Elvan Aydemir)
- TENSORFLOW 101 (Seray Beşer)
Pytorch
- Introduction to Deep Learning with Pytorch: Installation (Original Young)
Deeplearning4j
- Introduction to Deep Learning with Deeplearning4J (Mesut Pişkin)
- Deeplearning4J Architecture (Mesut Pişkin)
- Artificial neural networks with deeplearning4j (Mesut Pişkin)
Fann
- Fann Tool Guide (Birol Jewelery)
Hardware and cloud support
Hardware
NVIDIA Titan Series
NVIDIA JETSON TX Series
Intel-Movidius Neural Compute Stick
- What is Intel-Movidius Neural Compute Stick and how to use (Merve Ayyüce Red)
- Raspberry Pi 3 on Intel Movidius Neural Compute Stick Running Deep Learning Applications (Yavuz Kömeçoğlu)
Cloudy
Google Colaboratory
- Free GPU Use with Google Colab (Fuat)
System preparation and installation guides for deep learning
Graphics Card Driver, Cuda and Cudnn Installation
- NVIDIA GPU driver, Cuda and Cudnn Installation Guide (Ender Ayhan Rencüzoğulları)
Microsoft Azure Notebook
Scientific articles
General (Review/Survey)
- A review of deep learning methods and applications (Abdulkadir Şeker, Banu Diri, Hasan Hüseyin Balık)
Computer Vision
- Marvel: A Large-Scale Image Dataset for Maritime Vessels (Erhan Gündoğdu, Berkan Solmaz, Veysel Yücesoy, Aykut Koç)
- Face Recognition Classifier Based on Dimension Reduction in Deep Learning Properties (Ahmet Bilgiç, Onur Can Kurban, Tülay Yıldırım)
- Signature Recognition Application Based on Deep Learning (Nurullah Çalık, Onur Can Kurban, Ali Rıza Yılmaz, Lütfiye Durak Ata, Tülay Yıldırım)
- On identification Leaves: A Comparison of CNN With Classical ML Methods (Mohamed Abbas Hedjazi, Ikram Kourbane, Yakup Genç)
- On identification Leaves: A Comparison of CNN With Classical ML Methods (Contemporary Bak, Aysun Koçak, Erkut Erdem, Aykut Erdem)
- Exploiting Convolution Filter Patters for Transfer Learning (Mehmet Aygün, Yusuf Aytar, Hazim Kemal Ekenel)
- The Unconstrained Ear Recognition Challenge (žiga Emeršič, Dejan štepec, Vitomir štruc, Peter Peer, Anjith George, Adil Ahmad, Elshibani Omar, Terrance E. Bult, Reza Safdari, Yuxiang Zhou, Stefanos Zafeirio Fevziye I. Eyiokur, Hazim K. Ekenel)
- Combining Lidar Space Clustering and Convolutional Neural Networks for Pedestrian Detection (Damien Matti, Hazim Kemal Ekenenel, Jean-Philippe Thiran)
- Combining Multiple Views for Visual Speech Recognition (Marina Zimmermann, Mostafa Mehdipour Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran)
- A Computer Vision System to Localize and Classify Wastes on the Streets (Mohammad Saeed Rad, Andreas Von Kaenel, Andre Droux, Francois Tieche, Nabil Ouerhani, Hazim Kemal Ekenel, Jean-Philippe Thiran)
Turkish Natural Language Processing
- Linguistic Features in Turkish Word Repressations (Onur Güngör, Eray Yıldız)
- Morphological Embeddings for Named Entity Recognition in Morphologically Rich Languages (Onur Güngör, Eray Yıldız, Suzan Üsküdarlı, Tunga Güngör)
- Zemberek Parser For Python3.X (Kemalcan Bora)
- A Morphology-Aware Network for Morphological Disambiguation (Eray Yildiz, Caglar Tirkaz, H. Bahadir Sahin, Mustafa Tolga Eren, Ozan Sonmez)
- Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization Using Large-Scale Gazeteers (H. Bahadır Şahin, Çağlar Tirkaz, Eray Yıldız, Mustafa Tolga Eren, Ozan Sönmez)
- Turkish and Natural Language Processing (Kemal Oflazer)
- Turkish and its challenges for Language Processing (Kemal Oflazer)
- Zemberek Docker Rest Server (Canbey Bilgili)
Sound processing
- A Musical Information Retrieval System for Classical Turkish Music Makams (Merve Ayyüce Kızrak, Bülent Bolat)
Guess
- INTRADAY PREDICATION OF BORT EXCHANGE ISTANBUL USİNG CONVOLUTIONAL NEURAL NETWORKS AND FEATURE CORRELATIONS (Hakan Gündüz, Yusuf Yaslan, Zehra Çataltepe)
Cyber security
- Determination of Disposed Service attacks using deep learning technologies (Ferhat Özgür Çatak, Ahmet Fatih Mustaçoglu)
- CPP-ELM: Cryptography Privacy-Preserving Extreme Learning Machine For Cloud Systems (Ferhat Özgür Çatak, Ahmet Fatih Mustaçoglu)
Data
- Sign Language Data Data (Türkiye Ankara Ayrancı Anatolian High School - Zeynep Dikle & Arda Mavi)
- Marvel: A Large-Scale Image Dataset for Maritime Vessels (Erhan Gündoğdu, Berkan Solmaz, Veysel Yücesoy, Aykut Koç)
- Yıldız Technical University Bone Natural Language Processing Group Databases (YTU Bone Natural Language Processing Group)
- [TTC-3600: A New Benchmark Dataset for Turkish Text Categorization] (https://github.com/denopas/ttc-3600)
- Turkish sentiment dataset (Ahmet Fan, Mustafa Sert)
- English/Turkish Wikipedia Named-Notity Recognition and Text Categorization Dataset (H. Bahadır Şahin, Çağlar Tırkaz, Eray Yıldız, Mustafa Tolga Eren, Ozan Sönmez)
- Turkish NLP DATASET (Sezer, B., Sezer, T. 2013.
- 1B Tokens Turkish Corpus and Turkish Word Vectors and Analogical Reasoning Task Pairs (Onur Gungor, Eray Yildiz, "Linguistic Features in Turkish Word Representations", SIU, Antalya, 2017)
- Turkish Language Resources Compiled by Deniz Yüret
- Metu-Sabanci Turkish Treebank
- SEMEVAL-2016 AbSA Telecom Tweets-Turkish: Test Data-Phase A (Subtask 1)
- SEMEVAL-2016 Absa Restaurant Reviews-Turkish: Train Data (Subtask 1)
- Turkish Paraphrase Corpus (TUPC) (Eyecioglu, Asli, and and Bill Keller.
- Turkish Wordnet (King) (Sasmaz, E., R. Ehsani, OT Yildiz, "Hypernym Extraction from Wikipedia and Wiktionary", SIU, Antalya, Turkey, 2017)
- Parkinson Speech Dataset with Multiple Multiple Typechs of Sound Recordments Data Set (Erdogdu Sakar, B., Isenkul, M., Sakar, Co, Sertbas, A., Gurgen, F., S., Apaydin, H., Kursun, O. Types of Sound Recordings'
- Turkey Student EVALUATION Data Set (Gunduz, G. & Fokoue, E. (2013).).
- Combined Cycle Power Plant Data Set (Pınar Tüfekci, Prediction of Full Load Electrical Power Output of A Base Load Operated Combined Combined Cycle Power Plant Using Machine Learning Methods, International Journal of Electrical Power & Energy Systems, Volme 60, September 2014, Pages 126-140, ISSN 0142-06)
- Dermatology Data Set (G. G. Demiroz, Ha Govenir, and N. Ilter, "Learning Differenceal Diagnosis of Eryhemato-Squamous Diseases Using Voting Feature Intervals", Arithiation Intelligence in Medicine, 1998-2004)
- Arrhythmia Data Set (H. Altay Guvenir, Burak Acar, Gulsen Demiroz, Ayhan Cekin "A Superviseed Machine Learning Algorithm for Arrhythythmia Analysis.
- Artificial Characters Data Set (H. Altay Guvenir Et Al, 1992)
- Turkish Natural Language Processing Toolkit- Embedded in Zemberek
- 235.000 Turkish Product Reviews
- ODP TR-30 Turkish Search Result Clustering Dataset (Çalı, 2010)
- Datati of the clothes in Modacruz and Zara (Kemalcan Bora)
Video Lessons
General
- Ankara Deep Learning - Deep Learning Event 1 (Ferhat Kurt) {96 minutes}
- METU Image Analysis Application and Research Center (OGAM) Summer School 2016 (METU)
Artificial neural networks
- Neural Network 1: Introduction to Education and Concepts (Dr. Sadi Evren Seker @bilgisayarkavramlari) {23 minutes}
- Neural Network 2: Concept of Perceptron and Learning (Dr. Sadi Evren Seker @bilgisayframlari) {13 minutes}
- Neural Network 3: Multi -Layer Artificial Neural Networks (Dr. Sadi Evren Seker @bilgisayarkavramlari) {13 minutes}
- Mathematics of artificial neural networks and math coding in 18 lines (Mehmet Burak Saycı)
Artificial intelligence
- Artificial Intelligence (Artificial Intelligence) - Playing List (Dr. Sadi Evren Seker @bilgisayframlari) {48 Video}
- Artificial Intelligence and Deep Learning (Merve Ayyüce Red) {68 minutes}
- Artificial Intelligence Age | TEDXMETUANKARA (Dr. Şeyda Ertekin) {18 minutes}
Computed view
- Classification of Remote Perceived Images at the Pixel Level Part 1/2 (Erhan Abdullah (Erchan Aptodoula) @data Istanbul) {60 minutes}
- Classification of remote detected images at pixel level section 2/2 (Erhan Abdullah (Erchan Aptoula) @data Istanbul) {30 minutes}
- Deep Dive to Deep Learning (Şefik first Serengil @softtech Stage) {52 minutes}
- Survival Guide in the Age of Machine learning (Şefik İlkin Serengil @Istanbul Coding Talks) {84 minutes}
- Deep Learning: Yesterday, present, tomorrow (Şefik Ilkin Serengil @Bilgisayar Chamber of Engineers) {100 minutes}
- Convolutional Neural Networks with Keras (Mehmet Burak Saycı)
- Convolutional Neural Networks with Keras (Mehmet Burak Saycı)
IoT
- IoT and Deep Learning Event (Ferhat Kurt) {82 minutes}
Framework
Miracle
- Keras Video Training Series (Mehmet Burak Count) {21 Video, Increasing}
Julia
- Introduction to Deep Learning with Julia and Knet (Assoc. Dr. Deniz YURET) {104 minutes}
Matconvnet
- Introduction to Deep Learning with Matconvnet and Matlab (Ahmet Gökhan Poyraz) {5 videos, additions will be made}
Presentations
- Artificial Learning Summer School 2017 - Presentations (Hucvl)
- METU Image Analysis Application and Research Center (OGAM) Summer School 2016 - Presentations (METU)
- METU Image Analysis Application and Research Center (OGAM) Summer School 2016 - Videos (METU)
- Deep Learning Türkiye - Statistical Language Processing - Prof.Dr. Dr. Kemal Oflazer - Presentations (DLTR)
Github
Natural language processing
- Zemberek Parser For Python3 (Kemalcan Bora)
- Turkish Word Embeddings with 900K Data (Savas Y)
- A Finite-State Morphological Analyzer for Turkish (Çağrı Çöltekin)
- Turkish Meaning Analysis with Keras (Positive - Negative) (Zeki Bird)
Search Algorithms
Computed view
- Image Classification with CNN (Mesut Pişkin)
- Real Time Gender Detection (Mesut Pişkin)
- Duygu-Duygu and Gender Recognition (Merve Ayyüce Kızrak-Yavuz Kömeçoğlu)
- Classification and Parameter Analysis of CIFAR10 Data Set with CNN (TENSORFLOW)
- Classification of Fashionmnist Data Set with CNN (Zeki Bird)
- Classification of CIFAR10 Data Set with CNN (Keras) (Zeki Bird)
Nervous networks
- Character Recognition with Refusted Artificial Nerve Network (Mesut Pişkin)
- Artificial Neural Networks with CPP (Enes Aydın)
- Machinery Protection (Seray Beşer)
Blogs
- Deep Learning Türkiye Blog
- verdifteri.com
- zekimakine.com
- veribilimcisi.com
- alpslabel.wordpress.com
- Makineogrenimi.wordpress.com
- Devhunteryz.wordpress.com
Books
- Artificial Learning - Ethem Alpaydın
- Deep Learning - Ian GoodFellow, Yoshua Bengio, Aaron Courville
- OpenCV image processing and artificial learning - Birol Jewelery
- Artificial Intelligence - Vasif Vagifoğlu Nabiyev
Competitions
- My Kaggle Competition Experience and Observations (Burak Özdemir)
- KAGGLE BNP Paribas 93. Degree (Top 3 %) Method and Code (Ayşe Elvan Aldemir)
Mobile applications
- Money Reader for Visually Impaired (Özgür Şahin)
- Visionigt (Kadir Mert Barutçuoğlu)
