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Machine translation is a field of AI that provides the ability to translate a language from one language to another. In this session, we will be discussing types of machine learning techniques, various types of vectorization techniques, What is RNN, how RNN Works, what is gradient Explosion and why it occurs and we will see how LSTM and GRU works, what is sequence 2 sequence model is, how the encoder-decoder works, how the teacher forcing mechanism works. We will be solving one Usecase of machine translation where we will be creating a model for translating English text into french.

0:00:00 Introduction
0:01:14 Agenda
0:01:56 What is Machine Translation?
0:04:02 Statistical Machine Translation Model
0:09:46 Neural Machine Translation Model
0:12:13 NLP Recap with Deep Learning - Text Vectorisation
0:20:47 NLP Recap with Deep Learning - RNN
0:25:03 NLP Recap with Deep Learning - Exponential Gradient Problem
0:26:26 NLP Recap with Deep Learning - LSTM
0:31:10 NLP Recap with Deep Learning - GRU
0:32:24 Sequence to Sequence Model
0:43:28 Usecase
1:20:16 Summary

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