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Results tagged with deep-learning
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user 52390
For questions related to deep learning, which refers to a subset of machine learning methods based on artificial neural networks (ANNs) with multiple hidden layers. The adjective deep thus refers to the number of layers of the ANNs. The expression deep learning was apparently introduced (although not in the context of machine learning or ANNs) in 1986 by Rina Dechter in the paper "Learning while searching in constraint-satisfaction-problems".
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UNets with a pretrained network as the encoder portion of U-Net
UNets with a pretrained network (like VGG16 or InceptionV3 or ResNet, or …) as the encoder portion of U-Net are common. However I'm struggling to understand how the 1D encoded second-to-last layer is …
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Why does SSIM in pytorch-mssim need the data range to be specified?
The SSIM metric (https://en.wikipedia.org/wiki/Structural_similarity_index_measure) formulas do not seem to depend on the range of the values the pixel have (from 0 to 1, from 0 to 255, or any other n …
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Target Network inversed in Deep Q Learning (Reinforcement Learning)
I am not asking why using a Target Network is useful (this was very well explained here), but rather if using this "inversed" target network is equivalent:
$\left(r_t + \max_aQ(s_{t+1},a;\theta) - Q(s …