Your Path to Deep Learning: Language Processing using RNN with TensorFlow

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Aug

30

2:00pm

Your Path to Deep Learning: Language Processing using RNN with TensorFlow

By IBM Developer

๐ŸŒŸ Workshop Overview
Language modeling is the task of assigning probabilities to sequences of words and is one of the most important tasks in natural language processing. Given the context of one word or a sequence of words in the language that the language model was trained on, the model should provide the next most probable words or sequence of words that follow from the given sequence of words in the sentence.
In this third workshop of the Your Path to Deep Learning series, we will learn how to perform language modeling on the Penn Treebank data set by creating a Recurrent Neural Network using long short-term memory (LSTM) units in a Jupyter notebook.
๐ŸŽ“ What will you learn?
  • Deep learning frameworks & architectures
  • Compare deep learning architectures
  • Implementing a Recurrent Neural Network with LSTM
  • Natural Language Processing with Deep Learning
๐Ÿ‘ฉโ€๐Ÿ’ปWho Should Attend?
  • Developers interested in building deep learning models using Python
  • Developers interested in Natural Language Processing
  • Deep learning & machine learning enthusiasts
  • Developers discovering deep learning algorithms
  • Developers building use cases around deep learning
  • All Developers interested in analytics and data science are welcome to attend the webinar
๐ŸŽˆ Prerequisites
๐ŸŽ™๏ธ Speakers
Please note: We will be providing a badge & certificate for this series. At the end of the series, you will be asked to enrol into a course "Deep Learning with TensorFlow" on https://cognitiveclass.ai. Once you complete the quizzes in the modules, you will be provided with a badge and a certificate.
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