February 2017
Intermediate to advanced
370 pages
8h 11m
English
Training a new image recognition from scratch requires a lot of time and computational power. If we can take a prior trained network and retrain it with our images, it could save us computational time. For this recipe, we will show how to use a pre-trained TensorFlow image recognition model and fine-tune it to work on a different set of images.
Training a new image recognition from scratch requires a lot of time and computational power. If we can take a prior trained network and retrain it with our images, it could save us computational time. The idea is to reuse the weights and structure of a prior model from the convolutional layers and retrain the fully connected layers at the top of the network. ...
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