beholder | TensorBoard plugin for visualizing arbitrary tensors | Machine Learning library

So, I'm coding out a hangman style game as is the custom when learning how to user JS. I have it working pretty well, but I cannot seem to figure out how to properly identify and prevent duplicate wrong guesses. Example: if you press "f" and it is not in the word, display and decrement the remaining scores once, and if you press "f" again, ignore the input. Here is my code thus far. I have my existing code in the function but it doesn't currently do anything. Any advice is appreciated.

So I'm making a crackme and one of the parts is to hook a certain function and wait for a certain combination a params to happen, then the challenge is done.

For that, I'm creating a driver to inject a DLL into processes that have a specific DLL and hook a certain function.

I'm doing it by

1. Getting a handle for the DLL to inject

This is the Beholder Plugin, it allows for visualisation of all trainable variables (with sensible restrictions for massively deep networks).

My problem is that I am running my training using the tf.estimator.Estimator class and it appears that the Beholder plugin does not play nicely with the Estimator API.

My code looks like this:

I made some log files using tensorboard but I can't access them.

Using

tensorboard or tensorboard --logdir=logs/ on the command prompt

gives the following error:-

I have set up a chart.js chart which uses data from a mysql database. I have set up a rest service to provide tha data, with the ability to define the grouping ie. the data is measured a five minute intervals, but I group it in 3 hour segments with my SQL statement SELECT (75-round(avg(sensorValue),0)) as Value, Time FROM sensorpi.rawData GROUP BY UNIX_TIMESTAMP(time) DIV $default_interval ORDER BY time asc

I would like to be able to change the granularity of the data by defining a new granularity.

I created an update function to send the request to the backend, and update the chart.

The chart is updated, but the default has 61 entries (at the moment) and the most fine-grained data has 180 entries. What happens is that the data is just reduced to the first 61 items in the dataset.

My gut feeling is that it is the date label of the X-Axis which is causing the trouble. But i am at a loss as to how i can solve it.

Here is a MVE (also on JSFiddle: https://jsfiddle.net/0agcu3ps/2/ )

Hello

I'm using TensorFlow v 1.4.0 and when I want to create a TensorBoard session with the following commands:

I cannot start a tensorboard instance when tensorflow is already running and using the GPU. The error is below. Apparently Tensorflow blocks all GPU memory on start independent of what it actually requires. Is there a way to start tensorboard while a tensorflow process is running or does it always have be started first?

I am trying to populate a linked list with creatures from a file. However, when I do it reads the first one but no other creatures. I cannot pass an int to get the number of creatures because it is not static.

I have the following code