Okay, it’s conscious. But can it run doom? I rest my case.
Can you run Doom? Let’s find out!
The Smallest Brain You Can Build: A Perceptron in Python
21–30 of 86 posts
Re: The Smallest Brain You Can Build: A Perceptron in Python
#22f(x) = 0.
Re: The Smallest Brain You Can Build: A Perceptron in Python
#23Re: The Smallest Brain You Can Build: A Perceptron in Python
#24> In 1958, a researcher named Frank Rosenblatt built a machine *he called* the perceptron.
> It was *inspired* by a single brain cell, a neuron.
Re: The Smallest Brain You Can Build: A Perceptron in Python
#25If you want to learn the fundamentals of ML I recommend a book, such as Deep Learning: Foundations and Concepts by Chris Bishop. If you insist on staying online, one option is https://course.fast.ai/ If you don't know ML I don't think you're going to learn much through ad hoc demos.
I didn't know Bishop had released a new textbook. I will have to take a look at it. I wasn't the biggest fan of his Pattern Recognition book as I found it overly dense. I much preferred the Murphy and Alpaydin books. EDIT: His son is co-author?
I think those down voting you are perhaps overly eager. I upvoted. Grab "Deep Learning" - you'll find it useful, imteresting, and likely less 'dense' in the negative sense!
Re: The Smallest Brain You Can Build: A Perceptron in Python
#26Going further backwards, the transistor (or a PNP junction) is the hardware level enabler of the IF statement. The action (switching) driven by the current which in turn controls other switches, is the first manifestation of "observe and act" by inanimate things at the speed of electricity.
Mechanical equivalents existed ofcourse - speed of a governer which controls the flow of fuel which in turn controls the speed of the governer.
Re: The Smallest Brain You Can Build: A Perceptron in Python
#27I can build a smaller brain. f(x) = 0.
Re: The Smallest Brain You Can Build: A Perceptron in Python
#28Earlier quoted context omitted.
I didn't know Bishop had released a new textbook. I will have to take a look at it. I wasn't the biggest fan of his Pattern Recognition book as I found it overly dense. I much preferred the Murphy and Alpaydin books. EDIT: His son is co-author?
I still find his pattern recognition book useful and informative. It may be dense, but some of us consider that a positive for 'reference' literature. That book was one of very few that still holds up well fr when it was published - truly in on of the last "dark ages" of ML. I think those down voting you are perhaps overly eager. I upvoted. Grab "Deep Learning" - you'll find it useful, imteresting, and likely less 'd…
> Grab "Deep Learning" - you'll find it useful, imteresting, and likely less 'dense' in the negative sense!
Absolutely! I just ordered it and it's enroute :)
Re: The Smallest Brain You Can Build: A Perceptron in Python
#29That was the first thing that came to mind when I read "the smallest brain you can build". Nowadays, that "small brain" would likely be built on a breadboard using op-amps instead.
Re: The Smallest Brain You Can Build: A Perceptron in Python
#30> A perceptron *is* the smallest brain you can build. > In 1958, a researcher named Frank Rosenblatt built a machine *he called* the perceptron. > It was *inspired* by a single brain cell, a neuron.
and its an a great learning resource - which is arguably more important :-)