Cenk Bircanoğlu

10 Seguidores

8 SlideShares 10 Seguidores 8 Seguindos

8 SlideShares 10 Seguidores 8 Seguindos

deep learning image regression alexnet convolutional neural network googlenet cnn cost function vggnet emotion recognition loss function mnist classification neural networks machine learning lstm text activation functions science kaggle data analytics deep belief network routing network machine learning recommender systems object recognition cife cifar10 objective function gamo svm computer vision convolutional networks pooling

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Autoencoders for image_classification

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A Comparison of Loss Function on Deep Embedding

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Recommendation Systems

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Facial Emotion Classification Using Deep Embedding with Triplet Loss Function

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Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning

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Kaggles House Prices Competition Study

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Image Generation with Tensorflow

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Yapay Sinir Ağlarında Aktivasyon Fonksiyonlarının Karşılaştırılması

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Understanding How CQL3 Maps to Cassandra's Internal Data Structure

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AWS re:Invent 2016: Using MXNet for Recommendation Modeling at Scale (MAC306)

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Data processing platforms architectures with Spark, Mesos, Akka, Cassandra and Kafka

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Collaborative Filtering Recommender Based on Co-occurrence Matrix

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New Developments in Spark

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Deep Dive with Spark Streaming - Tathagata Das - Spark Meetup 2013-06-17

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deep learning image regression alexnet convolutional neural network googlenet cnn cost function vggnet emotion recognition loss function mnist classification neural networks machine learning lstm text activation functions science kaggle data analytics deep belief network routing network machine learning recommender systems object recognition cife cifar10 objective function gamo svm computer vision convolutional networks pooling

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