parulc7 Alice-in-Wonderland issues - Githubissues

parulc7 / Alice-in-Wonderland

Using Recurrent Neural Networks to predict text using the Alice in Wonderland dataset from Project Gutenberg

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word2vec for prediction

#14 parulc7 opened 4 years ago
0
2Bidir+1lstm with 86% accuracy achieved with 30 iterations

#13 AdarshKumar712 closed 4 years ago
0
on 2 layer Bidirectional LSTM model, changed optimizer from "rmsprop" to "adam", increased hidden size and batch size to next power of 2(256), accuracy=89%

#12 forassk opened 4 years ago
0
Increased the number of epochs per iteration

#11 apprenticearnab opened 4 years ago
0
added BiLSTM with accuracy 77.15

#10 arai28 opened 4 years ago
0
2 Bidirectional+1 LSTM implemented with 30 iterations, accuracy reached on the same data 86.09%

#9 AdarshKumar712 closed 4 years ago
2
new file uploaded

#8 forassk opened 4 years ago
2
Set up Python Application Workflow

#7 aditya-hari closed 4 years ago
2
Implementing LSTM Cell

#6 apprenticearnab closed 4 years ago
1
LSTM

#5 youdit closed 4 years ago
1
Setup Github Actions for Testing and Integration

#4 parulc7 opened 4 years ago
2
Implement an LSTM based prediction Model

#3 parulc7 closed 4 years ago
7
Modify Readme

#2 parulc7 opened 4 years ago
0
Prediction using seq2seq Model

#1 parulc7 opened 4 years ago
4