Questions and Answers
Which of the following is a benefit of using AWS to build your internet application?
You pay only for what you use
What is the difference between a physical server and a virtual server on AWS?
A virtual server is managed by AWS
What analogy does the text use to describe using AWS to build your internet application?
Purchasing electricity from a power company
Which constructor can be used to create a Sequential model in Keras?
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How can layers be added incrementally to a Sequential model in Keras?
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What is the recommended approach to specify the input shape of a Sequential model in Keras?
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Study Notes
A Guide to Sequential Models in Keras
- Sequential models are appropriate for a simple stack of layers with one input and one output tensor.
- The Sequential constructor can be used to create a Sequential model by passing a list of layers.
- Layers in a Sequential model can be accessed using the layers attribute or added incrementally using the add() method.
- The input shape of the model needs to be specified in advance for the layers to create their weights.
- The summary() method can be used to display the contents of a built Sequential model.
- An Input object can be passed to the model to specify the input shape from the start.
- Debugging a Sequential model can be done by incrementally adding layers and printing the model summary.
- Once a Sequential model is built, it can be used for feature extraction using the input and output attributes of each layer.
- Transfer learning can be done by freezing the bottom layers and only training the top layers or stacking a pre-trained model with newly initialized classification layers.
- Freezing layers can be done by iterating over model.layers and setting layer.trainable = False on each layer except the last one.
- Stacking a pre-trained model with classification layers can be done by creating a new Sequential model and adding the pre-trained model's layers followed by the new classification layers.
- It is recommended to specify the input shape of a Sequential model in advance if possible.
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