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 2239056000 (2 .24 billion) secs and we are awake almost 2/3 of  it which makes 1492704000 (1.49 billion) secs .  Then we assume that on average there are 86*10^9 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 🙂

[1] http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2826883/figure/F2/

[2] http://www.ncbi.nlm.nih.gov/pubmed/19226510

[3] http://www.who.int/gho/mortality_burden_disease/life_tables/situation_trends/en/

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