TensorFlow: Word Embeddings & Recurrent Neural Networks

TensorFlow    |    Intermediate
  • 11 videos | 42m 58s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 2 users Rating 4.5 of 2 users (2)
Explore how to model language and text with word embeddings and how to use those embeddings in Recurrent Neural Networks. Leveraging TensorFlow to build custom RNN models is also covered.

WHAT YOU WILL LEARN

  • Perform text to numeric conversion using one-hot encoding
    Use frequency-based methods to generate word embeddings
    Use name prediction-based methods to generate word embeddings
    Identify pre-trained models for word vector embeddings
    Describe how to work with recurrent neurons
  • Recognize the construction of a recurrent neural networks by unrolling recurrent memory cells
    Recognize the forward and backward passes while training a recurrent neural network
    Compare long memory cells with the normal recurrent neuron
    "describe different kinds of encodings and why they are used "
    Describe the working of recurrent neural networks and how they differ from regular neural networks

IN THIS COURSE

  • 2m 2s
  • 5m 33s
    In this video, you will learn how to convert text to numeric values using one-hot encoding. FREE ACCESS
  • Locked
    3.  Frequency-Based Encoding
    4m 5s
    In this video, learn how to use frequency-based methods to generate word embeddings. FREE ACCESS
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    4.  Prediction-Based Encoding
    4m 26s
    In this video, you will use name prediction-based methods to generate word embeddings. FREE ACCESS
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    5.  Word2vec and GloVe Embeddings
    3m
    Learn how to identify pre-trained models for word vector embeddings. FREE ACCESS
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    6.  Recurrent Neurons
    5m 54s
    After completing this video, you will be able to describe how to work with recurrent neurons. FREE ACCESS
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    7.  Unrolling a Recurrent Memory Cell
    2m 58s
    Upon completion of this video, you will be able to recognize the construction of a recurrent neural network by unrolling recurrent memory cells. FREE ACCESS
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    8.  Training a Recurrent Neural Network
    3m 54s
    Upon completion of this video, you will be able to recognize the forward and backward passes while training a recurrent neural network. FREE ACCESS
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    9.  Long Memory Cells
    2m 47s
    To compare long memory cells with the normal recurrent neuron, find out how. FREE ACCESS
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    10.  Exercise: Working with Word Encoding
    3m 41s
    In this video, learn how to describe different kinds of encodings and why they are used. FREE ACCESS
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    11.  Exercise: Working with Recurrent Neural Networks
    4m 38s
    Upon completion of this video, you will be able to describe how recurrent neural networks work and how they differ from regular neural networks. FREE ACCESS

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