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TensorFlow Forming Graphs

A Partial differential equation (PDE) is the primary type of differential equation, which involves partial derivative with the unknown function of several independent variables. Regarding partial differential equations, we are focusing on creating new graphs.

Let we have to assume there is a pond with dimension 500*500 square-

N=500

Now, we will compute the partial differential equations and form the respective graph using it. Generate the steps given below for computing graph.

Upgrading v1 to v2 in TensorFlow code is given below:

Step 1- Firstly, import libraries for simulation.

Step 2- Include functions for the transformation of a 2D array into a convolutional kernel and simplified the 2D convolution operation of the forming graph.

Example:

Step 3- Include the number of iterations and compute the graph to display the records accordingly:-

Output:

TensorFlow Forming Graphs




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