Is an automatic quiz generator possible? It depends on what you call automatic, and what you consider a successful level of functionality. Something is definitely possible. Is it that automatic, or do you have to enter your own questions and correct answers? Can it observe text syntax so that it can create questions based on … Read more
You can solve tic-tac-toe just by enumerating all the game states. There are a few corners you can cut, but not many. Here is a nice graphical representation of how to do this. http://xkcd.com/832/ 4 solved Better AI for Tic & Toe [closed]
f(x) would be 0. But this should hardly ever occur. g(x)=0 means you had no costs to reach x (should only be the case for the starting point) h(x)=0 means the heuristics says that the costs to reach the goal from x costs not more than 0 (means that you are at the goal) so … Read more
There are plenty of them. Here is a list of different NLP problems: spam detection text genre categorization (news, fiction, science paper) finding similar texts (for example search for similar articles) find something about author (genre, native-speaker/non-native-speaker) create automatic grader for student’s work check text for plagiarism create an application that looks for grammatical errors … Read more
Basically, you multiply the number of pieces with their individual potential mobility to get the theoretical branching factor for one side. That is, the number of possible moves at each search level. Then you raise that figure to the power of the search depth to get the number of total positions to evaluate. So if … Read more
Here I will help you by providing you the template code that you can use and modify according to your needs. I am only going to do for one algorithm then it is your responsibility to do it for others. import pandas as pd import numpy as np import matplotlib.pyplot as plt # read the … Read more
Your question is a bit broad, but i’ll try to answer nonetheless. To imitate a subjects behavior you could use and LSTM network which has an understanding of the state it’s in (in your case the state may include information about how fast and in which direction the dot is going and where the pointer … Read more
Given a sentence, how can I generate similar sentences of that particular sentence but not with the same meaning using machine learning? solved Given a sentence, how can I generate similar sentences of that particular sentence but not with the same meaning using machine learning?
The complexity and state space of the Poker is not large. Therefore it is possible to just exhaustively search all the combinations. In fact you can even calculate the probability of getting each cards with some arithmetic. I would recommend you to read Poker Theory and Analytics by Kevin Desmond on MIT Open Courseware to … Read more
You can use Azure Cognitive service https://azure.microsoft.com/en-gb/services/cognitive-services/computer-vision/ It has a free tier(more than enough if you have less than 100 users I’d say) to use. 1 solved How to Verify People’s faces Using Camera [closed]
I didn’t check your code but… No, you can’t use fixed weight like that. Each node in your hidden layer will get larger and larger values as you increase the amount of inputs. Sigmoid will scale the large values to 1. Think about it: Let’s say that you have 100 inputs each having “random” input … Read more
“Annealing”, in this sense, is an analogy to a chemical process in which temperature is reduced. Here, too, the ‘temperature’ term in the softmax is reduced, changing it gradually from a ‘soft’ sigmoid function to a ‘sharp’ argmax Try plotting a softmax function for yourself with different temperatures, you’ll see the difference… solved Terms in … Read more
If that’s really all you want: words = output.split(‘ ‘, 1) if words[0] == ‘search’ and words[1] in Terms: print(“win”) 5 solved How can I make this code not use a list or a ton of conditional statements? [closed]
It is hard (if not impossible) to label an heuristic as “best”. One idea I have in mind is evaluate the heuristic for the current state as the maximum value of all the tiles at this state. And then, that with the higher value is supposed to be better (“closer”) to the goal. And it … Read more
RTFM. The first line of the function’s documentation explains: newff Create a feed-forward backpropagation network. Obsoleted in R2010b NNET 7.0. Last used in R2010a NNET 6.0.4. The recommended function is feedforwardnet. … The training function BTF can be any of the backprop training functions such as trainlm, trainbfg, …. The learning function BLF can be … Read more