Pytorch code for "Learning Implicit Generative Models by Matching Perceptual Features", ICCV 2019
The project is to train and evaluate the reliability of using CNNs, in classifying, different Signals.
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates …
A deep convolutional network made of stacked feature extractors
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