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| In this tutorial, I will cover topics like what a neural network is, how does it learn, most commonly used architectures (for e.g. Multilayer perceptron, Convolutional neural network, Generative adversarial network) and together we will build a few simple models in order to classify between pulsar signals and RFI/noise. If time permits, we will together try to tackle a mysterious and more light-hearted problem using ML. | In this tutorial, I will cover topics like what a neural network is, how does it learn, most commonly used architectures (for e.g. Multilayer perceptron, Convolutional neural network, Generative adversarial network) and together we will build a few simple models in order to classify between pulsar signals and RFI/noise. If time permits, we will together try to tackle a mysterious and more light-hearted problem using ML. | ||
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| + | **Participants**: | ||
| + | Ferdinand, Arunima, Jompoj, Jaswanth, Tasha, Joscha, Miquel, Jiwoong and Mary | ||
