Bit of a depressing update.
I've got alot more done, the neural network is in, and i've got it very correct, its nearly ready to walk across now, but the prob is my video card has started crashing under the training workload. I train the net synapses, but then I lose the pointer to the video card afterwards.
Goes to show u should get nvidia cards not random no-brand cards cause they have high core counts on their sheets but when they consistently crash and burn when u expend enough power on them its useless having the number written there as high.
Ive also started on the computer vision system as well, and thats going to integrate a second memory system type other than the perceptron for all the similarity matching im needing.
So, I'm not sure what to do, I have a computer getting fixed at the shop ready to come back with my nvidia card on it, nearly ready soon, but Ive started worrying about the fact maybe when the power supply died it took the motherboard and ram with it or something, with a bit of luck the crowbar circuit worked and saved the rest of the computer, but who knows I might be without a computer completely!
My best bet is either living at my little bro's house a while and jump on his giant whopping 10,000 core gpu, where I've never been above 2000 ever, so itll be cool using that, but thats only temporary, so I'm thinking about getting a second hand predator laptop (they pack good video cards) for $1000 and then ill be off and running again.
But I don't have $1000, ill have to see if I can convince my mum to lend it to me, she should, but I don't know how long itll take for her to work out I need the fricken computer, before she ends up giving me the green light.
So, no video card. I guess i'll still keep coding, but the demo to show looks like its not coming for the near future, like my last videos, where I wanted to show you guys something cool but I couldnt quite make it.
So I'll see what happens, but the video card on this comp I'm on now, the video card is burnt out, cheapo crap that doesnt even run that well.