在 MacBook 上运行 tensorboard 时，此错误不断出现：当前数据集没有活动的仪表板

Question

I'm running a CNN training model with tensorflow. I want to visualize accuracy of the training model with Tensorboard. I tried the following variations:

tensorboard --logdir=/Users/Desktop/model_folder 
tensorboard --logdir="/Users/Desktop/model_folder" 

But every time I try to load Tensorflow in my browser, the error is: no dashboards are active for the current data set.

I saw some solutions for Windows where they specified the network drive; however, mac does not have a network drive, so I'm not sure how to proceed.

Are there solutions to this error for MacBook? Or are there other ways of visualizing training model accuracy with python?

Answer 1

To simply visualise you don't specifically need tensorboard and can just use history object that the fit method returns:

import pandas as pd

#### here you create your model ####

hist = fit(x, y)
histdf = pd.DataFrame(hist)

# Plot loss
hist_df.loc[:, ['train_loss', 'val_loss']].plot(kind='line')
# Plot accuracy
hist_df.loc[:, ['train_accuracy', 'val_accuracy']].plot(kind='line')

You can of course also import matplotlib and set up plots in more detail.