Neural network task -- 2
Budget: $30 – $250 USD
Neural network solution
This will require the ability to create an AI program (possibly from scratch but not necessarily), write functions and be able to think conceptually about the problem.
Here is the problem
1. Create a neural network
2. Create a function that can store and recall the unique state of the network
3. Generate a unique combination of nodes
4. Objective is 1 trillion unique combinations
Description
Premise x-> f(x)->y
Propose a dataset of x (10 parameters)
Create a function f(x) to reliably output 1 trillion (y)
Given a combination of x(100 parameters) the Network can generate Y (1 trillion unique combinations)
Given x the network can calculate y
Given y the network can calculate x
and do this reliably
thus the network can store and recall 1 trillion unique states
Delivery
python or Golang Python
This will require the ability to create an AI program (possibly from scratch but not necessarily), write functions and be able to think conceptually about the problem.
Here is the problem
1. Create a neural network
2. Create a function that can store and recall the unique state of the network
3. Generate a unique combination of nodes
4. Objective is 1 trillion unique combinations
Description
Premise x-> f(x)->y
Propose a dataset of x (10 parameters)
Create a function f(x) to reliably output 1 trillion (y)
Given a combination of x(100 parameters) the Network can generate Y (1 trillion unique combinations)
Given x the network can calculate y
Given y the network can calculate x
and do this reliably
thus the network can store and recall 1 trillion unique states
Delivery
python or Golang Python