Tags » Neural Networks

ReLU as Neural Networks Activation Function

Rectifier linear unit or its more widely known name as ReLU becomes popular for the past several years since its performance and speed. In contrast to other common activation functions, ReLU is a linear function. 288 more words

Machine Learning

Googles AI translation tool seems to have invented its own secret internal language

All right, dont anxiety, but computers have created their own secret language and are probably talking about us right now . Well, thats kind of an oversimplification, and the last part is just plain untrue. 400 more words


Deep Learning - Faking It

My last blog showed the results of using a deep convolutional neural network to apply different artistic styles to a photograph of cyclist.  This article looks at the trendy topic of Generative Adversarial Networks (GANs). 834 more words

Can you get a useful result with a random convolution filter?

In a number of places I’ve seen it remarked that a random convolution filter makes for a reasonably efficient edge detector for images, so I thought I’d test this. 126 more words

Candidate Neural Network Architecture : PredNet

While I sketched out a provisional idea of how I reckoned the network could look, I’m doing what I can to avoid reinventing the wheel. As it happens there’s a Deep Learning problem with implemented solutions that I believe is close enough to the earthquake prediction problem to make a good starting point : … 928 more words


Neural Networks (NNs)

Network Layers

Forward propagation (Forward pass)

  1. The input layer
  2. The hidden layers
    • Input
      1. Initialize all variants with random values.
        • Generally, weights and biases and so on.
  3. 76 more words
Deep Learning

Deep Learning to classify big data

By Sahar Tavakoli

Our brains do an expert job of classification; it happens when we recognize people from their faces, categorize an object that we see, or predict the future state of an event. 522 more words

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