Great idea - count me in!
I recently stumbled across a brilliant article explaining why you should invest in a GPU for training deep learning models and which one you should get.
I thought I'd share it here for those who are interested!
Hope you find it useful!
I'd be interested - sounds great!
Very interesting thoughts David. I'd also highly recommend both of these TED talks, especially the second by Cédric Villani! Very inspiring.
This is a bit random 🤣, but I was wondering whether anybody on the site had ever used a neural network to predict pool or snooker matches? I'm trying to implement something myself, and am looking some advice.
Here's my pythonic way of doing it:
[FFFFFHHHHHHH]) and randomly shuffle it.
Ffollowed by an
H. If it is, add $1$ to a variable called
successesby $1000$ to get the average, which is approximately $2.91$ foxes are followed by a hound.
Thanks - very interesting!
Thank you so much. This is such a great explanation! I hadn't even heard of the central limit theorem before now - it's a pretty amazing result. It baffles me how you'd go about proving something like that.
I haven't done much statistics up till now, but it seems like the normal distribution 🔔 is used all the time. Why is this? Is it for simplicity, or because it often provides a good fit for the problem?
I can't understand why it isn't just $n=2$ 😣😣