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Download Building Blocks of DNN PDF by ['Ambreen Abdul razzaque'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Building Blocks of DNN PDF
Umair bin Mansoor gives a lecture on the building blocks of deep neural networks (DNNs). He discusses forward and backward propagation for a single layer, including the calculations for the output, input, weights, and biases. He also defines hyperparameters as parameters that determine the weights and biases for each layer, such as the learning rate, number of iterations, number of hidden layers and units, activation functions, and more. Finally, he notes that DNN application is empirical and requires tuning hyperparameters for optimal performance.
Detailed Information
| Author: | ['Ambreen Abdul razzaque'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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