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Adding more layers — Machine Learning Zoomcamp Module 8
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Machine Learning Zoomcamp › Module 8: Neural Networks and Deep Learning › Adding more layers
Notes
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- softmax takes raw scores from a dense layer and transforms it into a probability
- activation functions used for output vs activation functions used for intermediate steps
- have a look at http://cs231n.stanford.edu/2017/
- sigmoid: negativ input –> zero, positive input –> straight line
- relu
- softmax
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