Deep Learning with TensorFlow

Visualization

To start the TensorBoard analysis, just type the following:

 $> Tensorboard --logdir = 'log_simple_stats_5_lyers_dropout'  

The following graph shows the accuracy cost function as a function of the training examples:

Accuracy in dropout optimization

In the following chart, we display the cost function as a function of the training examples:

The cost function over the training set

Both trends are what we expected: the accuracy increases with training examples, while the cost function decreases with increasing iterations.