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Text Prediction Using Recurrent Neural Networks with TensorFlow
April 26 @ 10:00 am - 11:00 am
Watch the video to learn more!
In this webinar, Dipendra Jha and Reda Al-Bahrani demonstrated how to use Sequence-to-sequence decoder from TensorFlow library build using Long Short Term Memory (LSTM) cells, on top of the text inputs embedded using the embedding lookup available in TensorFlow.
You will learn about:
- the required steps to accomplish text prediction from input processing, embeddings, to using LSTMs to make the prediction
- the concepts of Recurrent Neural Networks (RNNs) and Long Short Term Memory (LSTMs), followed by coding and demonstration for accomplishing the acutal text prediction using TensorFlow.
Who should watch?
This webinar will be of interest to Data Scientists, Software Engineers and Entrepreneurs in the areas of Connected Cars, Internet of Things/Industrial Internet, Medical Devices, Financial Technology (blockchain) and predictive apps/APIs of all sorts.
About the Presenters