Posted On: Feb 22, 2018
The major differences between RNN and CNN are as follows
S. No. | Criteria | RNN | CNN |
1 | Full form | The RNN stands for Recurrent Neutral Networks. | The CNN stands for Convolution Neutral Networks. |
2. | Based upon the suitability | The RNN is best suited for temporal data, also called as the sequential data. | This is best used for processing of images, classification of images and to correlate data. |
3. | Based on compatibility features | The feature compatibility of RNN is lesser. | The CNN feature compatibility is more. |
4. | Based on handling input/ output | The RNN is able to handle arbitrary input/output lengths. | The CNN is able to handle only fixed input/output lengths. |
5. | Based on processing | The RNN is able to use internal memory to process arbitrary sequences of inputs. | CNN is a feed-forward artificial neural network. |
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