NNetwork | Custom graph/network/multi-weighted network class

I've been playing around with Tkinter recently trying to execute a python script which works on its own. I have looked through a few other posts on the forum, and I can't seem to find a solution to what I'm playing with.

The following script, I do not have an issue with, this works perfectly.

I want to know how is the term frequency factor i.e. tf calculated ?

I want to know the tf of the content. The results for the following query :

I'm using a simple network and i'm trying to use AdamOptimizer to minimize the loss in a Q learning contexte.

Here the code :

I am building a program to change IP address of the machine in Ubuntu 18.04.1 LTS. So basically I am creating a YAML file template with

I am currently trying to write a c++ wrapper for PSPNet's prediction (originally in Matlab). PSPNet runs on Caffe.

Situation: I have a trained caffe model, and would like to implement this wrapper to run the segmentation result when given an input. In this case, my crop_size is smaller than it's original size. Thus, it is being cropped manually to multiple 425x425 "frames" and fed forward into caffe net after the pre-processes in a for-loop.

Problem: However, net seems to only be running forward once despite being in a for loop. Supported by its processing time and output, refer below.

This is the incomplete code I am currently trying to work on:

I am having a hard time understanding a previous assignment. I was to use functions given in the Addison-Wesley Advanced Programming in the UNIX Environment Third edition text (chapter 16.3.3) to print the host, network, protocol, and services database to the standard output. The feedback my professor gave is below.

Needs serious work (-40); each section of the output needs to contain (possibly) many entries, and must be read in a loop Service port numbers incorrect (-5); the port is a short (NOT an int and in network byte order!); it must be converted using ntohs(3).

My issue is in looping the program to get multiple entries, as I'm not sure how this can be done, especially with the addresses in h_addr_list, since I get Segfaults trying to access anything past [0]. Does the loop have anything to do with the value of h_length?

Here is the code as submitted for the feedback above:

it'a strange error (i'm new to python), I hope I can explain it. I need update a swarm stack with a REST call and use requests. I have a yaml file that I convert to a string and put into body of request.

yaml file:

I have a json file data (2Go) where each line is (threadTitle, numberOfSubscribers)

I'm experiencing a very strange behaviour in Matlab using the NN toolbox.

I'm building a NN based RL simulation, so I have to train my network repeatedly/calling the train function multiple times (think of a game: after each "move" I observe a reward, so I have a new input->output pair on which I want to train my network).

Every single time I train my network with a single input-output couple, my network will not train anymore, meaning that when I call net=train(net,newinput,newtarget) its weights don't change at all.

I had a look into it and I discovered that after the first training my network CUTS the connection between input layer and hidden ones, as well as others. see picture below.

here is a simple code able to reproduce this behaviour.