ALY6020代做、代写neural networks、Python代做、代写Java，c++编程语言

日期：2020-02-04 05:30

Northeastern University

College of Professional Studies

ALY6020 – Predictive Analytics

Winter 2020 CPS Quarter – First Half

Assignment: Feedforward neural networks

Due date: 02/07/20

Goal

Train a feedforward neural network to implement a binary BCD (binary coded decimal) adder.

For some background, please read https://www.geeksforgeeks.org/bcd-adder-in-digital-logic/

(focus on what a BCD adder does, not on how to implement it with digital circuits. We are going

to solve the problem with a neural network.)

You will need to create a truth table that represents the mapping between all the possible inputs

and desired outputs which you want your neural network to learn.

Specific Instructions

Write a script based on mine that transforms your 8 bit input (4 bits per digit) into a 5 bit output.

As we discussed, there are no general rules that dictate how to design a network for a particular

task. Therefore you have to try different numbers of hidden layers, neurons per layer, and

activation functions (although, sigmoid functions make sense for this problem given the binary

value of the inputs and outputs). Start simple and only make your network more complicated as

necessary.