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 ben.bolte.cc
Question Answering using Keras | Ben Bolte
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Building Recurrent Neural Networks in Tensorflow | Machine Learning Fundamentals
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| | In the previous blog posts we have seen how we can build Convolutional Neural Networks in Tensorflowand also how we can use Stochastic Signal Analysis techniques to classify signals and time-series. In this blog post, lets have a look and see how we can build Recurrent Neural Networks in Tensorflow and use them to classify Signals.
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The Essential Guide to Neural Network Architectures
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| | Learn about the different types of neural network architectures.
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What is Recurrent Neural Networks (RNN)?
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| | Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.
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Step Function as a Neural Network Activation Function - Sefik Ilkin Serengil
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| Heaviside step function is one of the most common activation function in neural networks. The functionproduces binary output. That is the reason why it alsocalled as binary step function. That's why, they are very useful for binary classification studies.