The notebooks use the MNIST data and classify it with KNN and CNN.
To launch Tensorboard navigate to the tensor_flow_logs folder and use:
python ~/path/to/python/tensorflow/tensorboard/tensorboard.py --logdir=${PWD}
To launch the prediction app:
Run
python number_prediction_app.py
Open Browser at localhost:8080
This repo is an app that uses a Convolutional Neural Network built in Tensorflow and trained on MNIST data to predict a number drawn by a user in d3.js
Error --> ModuleNotFoundError: No module named 'tensorflow.tensorboard.tensorboard' Solution --> tensorflow/tensorflow#10959
Run
from: python ~/path/to/python/tensorflow/tensorboard/tensorboard.py --logdir=${PWD}
to: tensorboard --logdir=output
Error --> 'module' object has no attribute 'scalar_summary' Solution --> https://stackoverflow.com/questions/41066244/tensorflow-module-object-has-no-attribute-scalar-summary
Change code
from: tf.scalar_summary(...)
to: tf.summary.scalar(...)
Error --> AttributeError: 'module' object has no attribute 'merge_all_summaries' Solution --> tensorflow/models#1066
Change code
from: summary_op = tf.merge_all_summaries()
to: summary_op = tf.summary.merge_all()