Machine Learning with TensorFlow 1.x

Program configurations

Now, let's look at our old program configurations, which are as follows:

    batch_size = 128 
    num_steps = 10000 
    learning_rate = 0.3 
    data_showing_step = 500 

We will need more configurations this time. Here is what we will use now:

 batch_size = 32 
 num_steps = 30000 
 learning_rate = 0.1 
 data_showing_step = 500 
 model_saving_step = 2000 
 log_location = '/tmp/alex_nn_log' 
 
 SEED = 11215 
 
 patch_size = 5 
 depth_inc = 4 
 num_hidden_inc = 32 
 dropout_prob = 0.8 
 conv_layers = 3 
 stddev = 0.1 

The first four configurations are familiar:

• We will still train for a certain number of steps (num_steps), just as we did earlier. But, you'll notice the number of steps has gone up. They will get even higher because our datasets will be more complex ...