seq2seq lstm encoder decoder model in TensorFlow for mathematical summation
-NLP tutorial for beginners in seq2seq lstm encoder decoder model.
-we build a sequence to sequence model using LSTM in Keras using TensorFlow. The neural network uses RNN encoder-decoder architecture to predict the sum of numbers using many to many sequence model of NLP.
-It behaves as a basic encoder-decoder model tutorial for beginners in TensorFlow and machine learning.
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In the previous video, we used the LSTM layers to generate text in TensorFlow.
link to the previous video: • Making text generator python using LS...
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In this video, we are trying to predict the sum of two integers using RNN network. This architecture uses the simplest encoder-decoder to get a sequence to sequence prediction.
-The LSTM layers are utilized in the TensorFlow using Keras library.
-The ultimate aim of this video series is to build chatbot using concepts of NLP.
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link to GitHub to get the files: https://github.com/somvirs57/seq2seq_...
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