November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Revisiting configurations
Now that we have been introduced to convolutional neural networks, let's revisit the configurations that we encountered earlier: batch_size, patch_size, depth_inc, num_hidden_inc, conv_layers, stddev, and dropout_prob:
- Batch size (batch_size)
- Patch size (patch_size)
- Depth increment (depth_inc)
- Number hidden increment (num_hidden_inc)
- Convolutional layers (conv_layers)
- Standard deviation (stddev)
- Dropout probability (dropout_prob)
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