Implemented a Deep CNN-LSTM with combined kernels from multiple branches for IMDb review sentiment analysis. Implementation is inspired from the paper - https://ieeexplore.ieee.org/document/8249013
-
Notifications
You must be signed in to change notification settings - Fork 1
Implemented multiple CNN-LSTM based neural networks. Achieved maximum accuracies for the network architecture which used a CNN-LSTM with combined kernels from multiple branches and other architecture that used a CNN-LSTM neural network with a residual connection. Achieved maximum accuracy of 89.39%.
harshitmuhal/IMDb-review-sentiment-analysis
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Implemented multiple CNN-LSTM based neural networks. Achieved maximum accuracies for the network architecture which used a CNN-LSTM with combined kernels from multiple branches and other architecture that used a CNN-LSTM neural network with a residual connection. Achieved maximum accuracy of 89.39%.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published