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About 1.2 Depth PDF
1) Deep learning models can be measured for depth based on either the computational graph view or the deep probabilistic model view. 2) The computational graph view measures depth as the longest path through the flowchart or number of instructions to be executed. 3) The deep probabilistic model view measures depth as how many concepts are related to each other in the graph describing those relationships. 4) There is no single correct value for the depth of an architecture, just as there is no single correct length of a computer program.
Detailed Information
| Author: | ['Pranaya Nahak'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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