1- In what order do we choose the items at each level? (You choose them in alphabetical order. Why?) 2- You say we treat the items list like a stack then you choose A at the first level. But how did we order them as A, B, and D in the first place? By the way, I really like the way you teach. Thank you.
would've been neat to know the order of traversing the child nodes beforehand. also in an actual programming stack, we would have to add the child nodes(i.e expand) in reverse order such that our topmost node after each expansion is the next first node (i.e when expanding S start by adding D to the stack, then B then A such that A is at the top of the stack), so we should draw the tree down towards the right not left, same thing just on opposite sides. I'm terrible at explanations but I picked this up from your video which means it's great
Probably with these tutorials I learned AI algorithms way more than what I learned in class, but since this algorithm is LIFO, shouldn't it start to generate nodes from the D since it is the last one entered into the stack and should be the first one to get out, instead of A?
Really nice videos man. I'm using search to derive equations in physics as a newcomer to CS. Your videos have helped immensely as a noob to CS research
I'm not able to understand in which order he is exploring the node, if there is no order then after exploring A we can explore G1,B then the algo stop at G1 itself, that is the path will be S -> A -> G1
Trying to explain this to a friend and your description of the algorithm in terms of a decision tree was brilliant. Makes things super clear (why we keep track of visited becomes self evident)! Great video 👍
The problem should specify it, if not it can be random. Good way is to go from left to right, or from right to left or even if there are letter to follow alphabetic ordering
lmao 2 hours lecture at my uni is summed up perfectly here in 7 minutes. Amazing!
My teacher should be fired 😂... Thank you so much
1- In what order do we choose the items at each level? (You choose them in alphabetical order. Why?)
2- You say we treat the items list like a stack then you choose A at the first level. But how did we order them as A, B, and D in the first place?
By the way, I really like the way you teach. Thank you.
You can use whatever order you want to fill the stack, you will still traverse the entire component but following a different path
would've been neat to know the order of traversing the child nodes beforehand. also in an actual programming stack, we would have to add the child nodes(i.e expand) in reverse order such that our topmost node after each expansion is the next first node (i.e when expanding S start by adding D to the stack, then B then A such that A is at the top of the stack), so we should draw the tree down towards the right not left, same thing just on opposite sides. I'm terrible at explanations but I picked this up from your video which means it's great
Finally I found a Dr. That deserve the title
The AI Dr. In my college is all over the place
She makes the easiest thing hard to understand
this guy is underrated. he deserves a million subscribers and billion views
Thank u so much, I finally understood the DFS and also for saving me from all of these Indians.
Probably with these tutorials I learned AI algorithms way more than what I learned in class, but since this algorithm is LIFO, shouldn't it start to generate nodes from the D since it is the last one entered into the stack and should be the first one to get out, instead of A?
After expanding A, should you not have stopped at G1?
Really nice videos man. I'm using search to derive equations in physics as a newcomer to CS. Your videos have helped immensely as a noob to CS research
I'm not able to understand in which order he is exploring the node, if there is no order then after exploring A we can explore G1,B then the algo stop at G1 itself, that is the path will be S -> A -> G1
Trying to explain this to a friend and your description of the algorithm in terms of a decision tree was brilliant. Makes things super clear (why we keep track of visited becomes self evident)! Great video 👍
S,A,B,C,F,G3🤔
Is there goal state for bfs nd dfs
Thank you
Thank you, best explanation! Wish I had watched your videos before
SUPER!! thank you for awesome presentation.
Why not go to goal G1 when we are checking if B or G1 has been traversed first?
sir you are great ,hope you going to continue uploading more videos , have never seen someone illustrate in that simple and precise way
افضل دكتور يشرح عن الماده شكرا لككككككككك 🥰
After first A, why did you choose B over G1. If you have chosen G1 over B that would be a better depth-first search
That's also my question! I couldn't figure it out?!
This choice is not really specified for depth search. How the algorithm chooses the next is node up for you to decide, as long as it's consistent.
Helal hocam, teşekkürler.
why is G1 not removed?
how do you decide the order of the nodes e.g. A B D. Because it really changes things
Alphabetical order.
yes it is also my question, if he decided the order is G2, F, S in the forth floor, the algorithm will stop.
Check out the arrow direction of C. From S u can't go to C.
The problem should specify it, if not it can be random.
Good way is to go from left to right, or from right to left or even if there are letter to follow alphabetic ordering
youre a life saver ❤️❤️
Good video but sound is not enough
Amaizingly explained, thanks a lot
Thank you so much for your explanation about DFS search tree, I've always get stuck at it but now it's more
clearly
thank you so much ! incredible
I feel very understandable - exactly what I am looking for
Thank you, it really helps me with my homework
Thank for your videos, my theory classes are really bad, and your youtube videos are saving, literally my life!
Thank you, really helpful
thank you
Awesome!!..please make more videos
More like A+ for those tutorials
عايز اموت
great explanation John Levine
i love your way thank u
Thank you.
THANK you !
Node d is mentioned again..Check the presentation again...Plz....
no it's not, it just appeared, we never expand it (branch it to it's nodes).
get a bigger board LOL, ah no all joking aside that was a very good explanation! really enjoyed it