any of you are comfortable and/or capable of creating a neural network from scratch?
I have an idea but none of my peers and i are capable of creating a self learning neral network.
I have an indeed created a neural network in Python & Lua from scratch. In Python I did use some number libraries, although nothing that would play a major role. The number libraries I used were simply to help me out with small things such as random numbers (numpy) for weights & bias. I didn't create a very large neural network (it had 0 hidden layers) although it took any number of inputs and then gave an output. I tested it with determining the color of a flower based on petal size, the score a student would get based on previous scores and time studying, and its accuracy was 98%. Essentially, you input training data in and using that data it trains its weights & bias over 50,000 times to get an extremely high accuracy. If you want help, feel free to let me know :) EDIT: I suggest you learn very basic calculus & algebra if you haven't already. They're essential in creating a NN and without them you won't get very far.
You mean like, totally from scratch? There are at least three good and recommendable libraries, which are heavily optimized to do that. Don't get me wrong, but there is a rather little chance you'd make something better than those ;) Check out keras with tensorflow back-end. It's like building with Lego blocks! By the way, what problem are you trying to solve with NNs?
Thank you! I will try and check them out. Traffic congestion :)