How you can add TensorBoard to your Keras model, and the configuration options you can set.How TensorBoard is implemented in the TensorFlow/Keras library.What TensorBoard is and why it can be useful.This way, you’ll understand what it is and how it works, allowing you to easily implement TensorBoard in your own deep learning model. This is followed by an example implementation of TensorBoard into your Keras model – by means of our Keras CNN and the CIFAR10 dataset. We specifically take a look at how TensorBoard is integrated into the Keras API by means of callbacks, and we take a look at the specific Keras callback that can be used to control TensorBoard. In this blog post, we’ll discover what TensorBoard is, what you can use it for, and how it works with Keras. You may also wish to use TensorBoard, for example. Additionally, if you wish to visualize the model yourself, you can use another tutorial.īut are they they only options you’ve got? If you want to visualize how your Keras model performs, it’s possible to use MachineCurve’s tutorial for visualizing the training process.
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