Search Results for author:
Found 3 papers, 3 papers with code
Convolution Neural Networks for diagnosing colon and lung cancer histopathological images
The aim of the present research is to propose a computer aided diagnosis system for diagnosing squamous cell carcinomas and adenocarcinomas of lung as well as adenocarcinomas of colon using convolutional neural networks by evaluating the digital pathology images for these cancers.
LSTM vs. GRU vs. Bidirectional RNN for script generation
In this paper, a case study is presented on how different sequence to sequence deep learning models perform in the task of generating new conversations between characters as well as new scenarios on the basis of a script (previous conversations).
LSTM Based Music Generation System
A model is designed to execute this algorithm where data is represented with the help of musical instrument digital interface (MIDI) file format for easier access and better understanding.
