Workshop: Tensorflow: Building Neural Machine Translation




1:00pm - 4:00pm

Key takeaways

  • What is Tensorflow?
  • How to use it?
  • What are neural networks?
  • How to use neural networks to translate languages using Tensorflow?


  1. You should bring you laptop with Tensorflow installed
  2. Have a python IDE installed. I prefer version 2016.3
  3. Install Anaconda Navigator. This will help you install certain basic packages like Numpy, Pandas, Keras, etc.
  4. Additional instructions will be updated on 1 Nov 2017 in my Github repository QCon_Nov2017.

With global commerce on the rise, collaboration between individuals speaking different languages is essential. The need for real time and accurate Language translation using deep networks is picking up fast.

Historically, language translation was done using rules and examples. This is obviously not scalable and does not cater to the evolution of languages. Later word-based and phrase-based translations were invented that still could not address the need of the hour. The modern day translations are done using deep networks. I would like to discuss the topic of language translation and deep learning using Tensorflow.

The attendees will get a chance to work hands-on to create the building blocks of Language Translator using Tensorflow.


  • Intro to Tensorflow
  • Intro to neural networks
  • LSTM, Language Corpus, BLEU scores
  • Sequence to sequence models
  • Encoders and Decoders
  • Attention
  • Connect a Language Model (LM) with NMT
  • Multi language translator
  • Bidirectional encoder
  • Data augmentation

Speaker: Karunakar Singamreddy

ML/NLP Tech startup CEO & founder @Pamoru

SK is a AI and ML expert and a successful twice start-up entrepreneur. He is a frequent speaker in meetups and a ML/NLP blogger. He believes that machine learning and NLP enthusiasts are looking for ML/NLP sessions where they can understand more of 'how' rather than 'what'.

His focus is to develop ML models to combine image and text processing. Also he has developed solutions in text summarization, question-answering and text mining.

Find Karunakar Singamreddy at

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