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Sefik Ilkin Serengil

Code wins arguments

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Category: Machine Learning

Swish as Neural Networks Activation Function

Google brain team announced Swish activation function as an alternative to ReLU in 2017. Actually, ReLU was the solution for second AI … More

activation function

From Neural Networks To Deep Learning

Deep learning dominates machine learning and artificial intelligence studies nowadays. Even though some people might think it as overrated, pioneer … More

andrew ng, geoffrey hinton, iris

Cosine Similarity in Machine Learning

Some machine learning tasks such as face recognition or intent classification from texts for chatbots requires to find similarities between … More

cosine, dot product, similarity

Deep Face Recognition with Keras

Face recognition has always been challenging topic for both science and fiction. A woman has her hair dyed or worn … More

autoencoder, face recognition, face verification, transfer learning, vgg

Driver of Machine Learning Success: Hardware

We all talk about artificial intelligence nowadays. Even innovations often named including AI or machine learning terms. Have you ever … More

alan kay, hardware, Machine Learning, steve jobs

5 Facts about Deep Learning and Neural Networks

Marketing staff are much more successful than engineers for things to be adopted. Even for engineering marvels. People working in … More

deep learning, marketing, neural networks

A Developer’s Guide to Machine Learning

Machine learning related jobs have a huge demand nowadays. However, there is a significant gap between supply and demand because … More

cdo, data scientist, unit test, vectorization

Artistic Style Transfer with Deep Learning

We have recently watched Van Gogh’s known story in Loving Vincent. 125 artists come together and painted 65.000 Van Gogh style … More

autoencoder, deep learning, keras, style transfer, tensorflow, transfer learning

The Insider’s Guide to Adam Optimization Algorithm for Deep Learning

Adam is the super star optimization algorithm of Deep Learning. Optimization algorithms aim to find optimum weights, minimize error and … More

adam, backpropagation, gradient descent, neural networks, optimization

An Overview to Vanishing Gradient Problem

Legacy form of perceptrons cannot handle non-linear problems such as xor logic gate problem. This is because step function is … More

gradient exploding, gradient vanishing, relu

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