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Name: Sachin Nandakumar
Type: User
Location: Germany
Name: Sachin Nandakumar
Type: User
Location: Germany
Using the IMDB data found in Keras here a few algorithms built with Keras. The source code is from Francois Chollet's book Deep learning with Python. The aim is to predict whether a review is positive or negative just by analyzing the text. Both self-created as well as pre-trained (GloVe) word embeddings are used. Finally there's a LSTM model and the accuracies of the different algorithms are compared. For the LSTM model I had to cut the data sets of 25.000 sequences by 80% to 5.000, since my laptop's CPU was not able to run the data crunching, making the model's not fully comparable.
A python automation script that wishes all your facebook friends who have their birthday today.
This repository is part of the coding challenge provided by Intrafind
Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
A sentence pair can be either entailing each other or contradicting each other or no relation called neutral. This code here classifies the SICK sentence pairs to one of the three classes using Deep Learning. Keras with LSTM model is developed
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Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
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