-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.

Visit Our site: https://codepiep.com/

---

• In the previous video, we used the LSTM layers to generate text in TensorFlow.

link to the previous video: https://youtu.be/auhqTBpiC6U

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.

link to GitHub to get the files: https://github.com/somvirs57/seq2seq_methematic_sum

Products used for filming:

Redmi K20: https://amzn.to/2zs2xia
boat bassheads: https://amzn.to/3d3yKtP
gorilla tripod: https://amzn.to/3hk8T4t
boya microphone: https://amzn.to/3e0ryQJ
helpful book: https://amzn.to/2MX76V2

Find us on:
Instagram: https://www.instagram.com/mechanisch_dude/
Facebook: https://www.facebook.com/dudemechanical/

#tensorflow