34. TensorFlow Pooling Layer Workspaces

Using Pooling Layers in TensorFlow

In the below exercise, you'll be asked to set up the dimensions of the pooling filters, strides, as well as the appropriate padding. You should go over the TensorFlow documentation for tf.nn.max_pool() . Padding works the same as it does for a convolution.

Instructions

  1. Finish off each TODO in the maxpool function.

  2. Setup the strides , padding and ksize such that the output shape after pooling is (1, 2, 2, 1) .

Workspace

This section contains either a workspace (it can be a Jupyter Notebook workspace or an online code editor work space, etc.) and it cannot be automatically downloaded to be generated here. Please access the classroom with your account and manually download the workspace to your local machine. Note that for some courses, Udacity upload the workspace files onto https://github.com/udacity , so you may be able to download them there.

Workspace Information:

  • Default file path:
  • Workspace type: jupyter
  • Opened files (when workspace is loaded): n/a

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