Neural Network Simulator Online

        Research students are facing some issues while implementing the simulation based on neural network simulator online. Therefore, we have illustrated this article as the guide to know about the neural network simulators, applications based on neural network simulators and it implementation too.

List of Neural Network Simulators

        Let’s start this article with the note about the supportive neural network simulators in the following.

• Matlab
• Python

Significant Application in Neural Network Simulators

         At this moment, we have described the list of applications which are using neural network simulators.

• To improve detection accuracy
• To perform the sentiment classification in data mining
• To perform the semantic segmentation for characteristics the image features

Execution of Neural Network Simulation Using Python

         Here, we have performed the neural network simulation using python through importing the libraries in header section main file.

from tkinter import *

from scipy import stats

from tensorflow.keras.preprocessing.sequence import pad_sequences

from tensorflow.keras import Model

from tensorflow.keras.layers import Input, Embedding, Flatten, Dense

from catboost import Pool, CatBoostClassifier

from layers import SelfAttention

from agent import Agent

         To execute the neural network simulation using python, we have to go to python IDE and select the run module and acquire the below mentioned results.