Posts tagged with: guestimate

How many training samples we observe over life time ?

In this post, I like to compute what number of visual instances we observes over time, with the assumption that we visually perceive life as a constant video with a certain fps rate.

Let’s dive into the computation. Relying on [1],  average person can see the world with 45 fps on average. It goes to extremes for such people like fighter pilots which is 225fps with the adrenaline kicked in.  I took the average life time 71 years [3] equals to


(2 .24 billion) secs and we are awake almost


of  it which makes


(1.49 billion) secs .  Then we assume that on average there are


neurons in our brain [2]. This is our model size.

Eventually and roughly, that means without any further investigation, we have a model with 86 billion parameters which learns from  

    \[1492704000 * 45 = 67171680000\]

 almost 67 billion images.

Of course this is not a convenient way to come with this numbers but fun comes by ignorance 🙂