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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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TensorBoard visualization

We will now look at the graph and loss function using TensorBoard. Start TensorBoard and point to the log directory /tmp/models defined in the code or any other path that you have set for saving the TensorFlow logs. The following is the visualization of the graph:

Visualization of the graph on TensorBoard

We can quickly find the resemblance between this model and the model architecture of the original DeepSpeech paper. We have the input nonrecurrent layers, followed by the RNN layer and the output hidden layers. We will now look at how the average CTC loss varies with the training:

The CTC loss can be seen to steadily ...

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