7
votes
What are some possible projects that can be finished in a 4-week time-frame?
Welcome to AI.SE @Kate_Catelena!
I teach AI courses at the undergraduate level, and so have seen a lot of semester projects over the years. Here are some templates that often lead to exciting ...
3
votes
Accepted
My cross entropy loss gradient calculation is wrong according to the answer key
For the first problem your $O_2$ is mistaken and should be corrected as below
$$
\begin{aligned}
O_2 &= \text{Sig} \left( -0.6 - 0.1 \cdot 2 + 0.2 \cdot 6 \right) \\
&= \text{Sig} \left( 0.4 \...
2
votes
What are some possible projects that can be finished in a 4-week time-frame?
Here are some possible options
Music Generation using GA/MA
Open AI's gym projects
2048 on RL and search algorithms
Fixing bugs in the source code of some AI software project
1
vote
What is the possible solution to the Problem?
Here the Solution to the problem from myself
The problem can be modeled in a graphical way as followed:
A person has to reach from one node of a graph to another, and the current distance from the ...
1
vote
What's wrong with my answer to this constraint satisfaction problem, which needs to be solved the AC-3 algorithm?
To satisfy $D\ne A$, for each element in the domain of $D$, say $d$, there must be at least one element in the domain of $A$, say $a$, that $d \ne a$.
Domain of $D$: $ \{ 1, 2, 3, 4 \} $
Domain of $A$:...
1
vote
Why is it useful to track loss while model is being trained?
The loss function (aka cost function) measures the correctness of the predictions of the model.
For example, a simple cost function could be $|y - f(x)|$, where
$\hat{y} = f(x)$ is the prediction ...
1
vote
Prove that in such cases, it is possible to find an ERM hypothesis for $H_n$ in the unrealizable case in time $O(mnm^{O(n)})$
Here's a rough proof sketch that might be clearer, but is probably less precise, than the solution you already have.
We have a sequence of hypotheses classes, but the problem actually only asks us to ...
1
vote
How can I solve part b of exercise 3.6 from the book "Artificial Intelligence: A Modern Approach"?
Initial state: initial position of the monkey.
Possible actions
climb on the crate,
get down the crate,
move the crate from one spot to another,
stack one crate on another,
walk from one spot to ...
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