Inconsistency in input shape to neural network
I coded two simple neural networks to add two numbers, and to square a number. I used them to create a program to multiply two numbers.
Division by neural network: Cannot take the length of shape with unknown rank
I am trying to code a neural network to multiply and divide two numbers by using a method similar to the one outlined here. First, I coded models for adding and subtracting two numbers, and squaring a number. For division, I then used the reciprocal of the divisor and multiplied it with the divident as below:
Neural network to approximate the square function gives 0 output
I’m trying to build a neural network to approximate the squares of numbers from -50 to 50. I’ve referred to the code in this answer to write mine:
Tile function in numpy not working properly
I am trying to build a neural network to add two numbers. This is the code: