Artificial Intelligence Future

Visualizing your model using TensorBoard Debugging problems are much easier when you can see what the problem is. But in a complex model with pieces of fidget data ted, that can get ... complex. Thanks, Tensorboard makes it a lot easier. Unlike traditional programming, machine learning is often very unpredictable. The quality of your data, including the nuances of our model, will have many parameters to choose from, all of which have detailed implications for the success or failure of the training process. If only there was some way to track some of these metrics through the training process, and also look at the structure of the model we created, which enables us to tune and debug the model. Now, this abstract process may be hard to imagine, but fortunately, TensorFlow has a built-in solution! Visit Tensorboard, TensorFlow's built-in visualizer, which enables you to perform detailed tasks to see training progress from looking at your model structure. Tensorflow uses the idea of ​​