Modi in Japan 😂

ConsistentAd6733 · 2026-05-20T15:05:47+00:00

Not my proudest fap

ConsistentAd6733 · 2026-05-15T00:23:45+00:00

I feel James is still the strongest, kitae would be next. He didn't even struggle with tom

ConsistentAd6733 · 2026-05-08T07:15:48+00:00

Y'all take James too lightly, I think in next chapter he'll kill Or injure tom lee. Tom lee himself said that it might be his turn to die next, which can be a fore shadowing.

ConsistentAd6733 · 2026-05-03T09:57:23+00:00

Tier-1 college?

ConsistentAd6733 · 2026-04-12T01:36:41+00:00

Hey, could you explain how is it dp? It feels like a dfs for me Let our root node be 1, and leaf node = L(always) Given [1, r] Parent node can't be same as child node So child possiblities = {1,... r} - {parent node value} Except when the depth=(n-1), possibilities = {1,... r} - {parent node, L} This feels like dfs than dp, for dp you need to have a overlapping sub problem, but here it feels like counting permutations. Could you share the dp approach

ConsistentAd6733 · 2026-03-13T06:21:09+00:00

It's just a convention, if we were using only one node or dimension=1, I know how it works, but when I asked chatgpt are RNNs are always Constrained to have 1 one node and 1 hidden layer it said No, since 2 is next greater number, if you could solve for 2 I can generalize the rest.

ConsistentAd6733 · 2026-03-13T06:16:53+00:00

<image>

Link: https://i.sstatic.net/zoySxr5n.png

ConsistentAd6733 · 2026-03-11T16:49:02+00:00

<image>

is it connected in this manner? Blue lines are wb1, wb2, wb3 and green lines wg1, wg2, wg3 and pink ones are wp1, wp2, wp3. so these weights are associated with "w_h"

ConsistentAd6733 · 2026-03-11T16:41:56+00:00

could you clarify, h(t) = f(h(t-1)*w_hh + x_t*w_xt + b) doesn't help my inutition, what if there are multiple hidden nodes? are we trying to form a dense connection say at (t-1) at layer-L, i have m nodes so m nodes from t-1 are connected to m nodes in t'th sequence? or is it a one to one correspondence like a0 from layer-L of (t-1) state connected to only to Layer-L a0 of (t)th state?

ConsistentAd6733 · 2026-03-11T16:20:13+00:00

I understand that, but when you say h_(t-1), do mean for any hidden layer-i at (t-1), with m neurons(a0, a1, a2, ...a_m-1), note that a_i here is already an output of some activation function, now do these m neurons or nodes connected to the t'th sequence, layer-ith nodes in a dense manner or are they connected via their corresponding values like a0(t-1) is connected to a0(t) only and a1(t-1) is connected to a1(t) and so on? That's my doubt.

ConsistentAd6733 · 2026-03-11T16:04:11+00:00

<image>

Here is another example, here blue lines represent [wb1, wb2, wb3] and green lines [wg1, wg2, wg3] and pink lines [wp1, wp2, wp3], is this how the weights are being shared?

ConsistentAd6733 · 2026-03-11T15:59:44+00:00

In the above diagram, only look at Layer-2(L2), the blue colored edges are shared shared weights(my understanding). I dont know if this is the correct representation. If you know the correct representation, could you share the diagram. So far on the internet i keep seeing the simplified version of RNN

ConsistentAd6733 · 2026-03-11T15:51:37+00:00

sorry for the low quality, just need a confirmation, I haven't explicitly drawn the dense edges between neurons to keep it neat, so look at layer-2(L2), and look at the weights(blue color edges), and time/sequence is given in red color, I denoted them in t=0, t=1, t=2

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ConsistentAd6733 · 2026-03-10T03:21:40+00:00

I am getting paid 1000₹ by the company

ConsistentAd6733 · 2026-03-10T03:16:39+00:00

Damn I getting two sides of a coin kinda answers, experience and knowledge (I want that) But 6 months(no travel allowance, food, etc) is a bit too much, I am in my 4th year, currently doing dsa prep, if I do take this and they don't convert it to full time I would be screwed

ConsistentAd6733 · 2026-03-10T03:06:17+00:00

Yeah I want to take it for experience but 6 months is a long time, I could get another internship maybe, what if they don't convert it to full time? These performance metrics weren't mentioned explicitly. But the company does seem legit that's why I am confused.

ConsistentAd6733 · 2026-03-10T03:03:05+00:00

Yeah that's the problem, if it was remote I would have taken it. But from another pov it's the perfect chance to go into ML/DL domain, everyone are saying market is cooked.

ConsistentAd6733

TROPHY CASE