Convolutional and Recurrent Neural Networks

Machine Learning    |    Beginner
  • 13 Videos | 39m 38s
  • Includes Assessment
  • Earns a Badge
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Some tasks aren't suitable for traditional neural networks and require specialized neural networks. Explore convolutional and recurrent neural networks and the types of problems they can solve.

WHAT YOU WILL LEARN

  • describe convolutional neural networks, how they are different from regular neural networks, and how they are used
    describe the high-level architecture of convolutional neural networks
    describe how convolution layers are set in convolutional neural networks
    describe how pooling layers work in convolutional neural networks
    describe some training considerations for convolutional neural networks and how training can differ from traditional neural networks
    describe regularization and how it applies to convolutional neural networks
    describe regularization methods for convolutional neural networks
  • describe implementing and training convolutional neural networks
    describe recurrent neural networks, how they are different from regular neural networks, and how they are used
    describe different types of recurrent neural networks
    describe LSTMs networks in TensorFlow
    describe RNNs and LSTM for language modeling
    use TensorFlow to create a CNN that classifies images

IN THIS COURSE

  • Playable
    1. 
    Introducing Convolutional Neural Networks (CNNs)
    4m 3s
    UP NEXT
  • Playable
    2. 
    CNN Architecture
    2m 43s
  • Locked
    3. 
    Convolution Layers
    1m 40s
  • Locked
    4. 
    Pooling Layer
    1m 42s
  • Locked
    5. 
    CNN Training Considerations
    2m 22s
  • Locked
    6. 
    Regularization
    1m 59s
  • Locked
    7. 
    Regularization Methods for CNNs
    1m 48s
  • Locked
    8. 
    Convolutional Neural Network Implementation
    2m 16s
  • Locked
    9. 
    Introducing Recurrent Neural Networks (RNNs)
    2m 13s
  • Locked
    10. 
    RNN Types
    1m 51s
  • Locked
    11. 
    Long Short Term Memory (LSTMs) in TensorFlow
    1m 56s
  • Locked
    12. 
    RNNs and LSTM for Language Modeling
    6m 53s
  • Locked
    13. 
    Exercise: Image Classification
    2m 11s

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