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Answer: In neural networks, a “cell” refers to the basic processing unit within a recurrent neural network (RNN), such as a long short-term memory (LSTM) cell, while a “layer” is a structural component comprising interconnected neurons in the network architecture, including convolutional layers, dense layers, etc.In neural networks, both “cell” and “layer” are fundamental components, but they serve different roles.
Conclusion:Understanding the distinction between cells and layers is crucial for designing effective neural network architectures, especially when dealing with sequential data or different types of data representations. While cells handle temporal dependencies, layers provide the structural backbone for various computations and transformations in neural networks. |
Reffered: https://www.geeksforgeeks.org
| AI ML DS |
Type: | Geek |
Category: | Coding |
Sub Category: | Tutorial |
Uploaded by: | Admin |
Views: | 14 |