this is python programming, can you guys add comments in every line so I can understand it. 2 Question 2 Given the MNIST handwritten digits dataset, implement the following networks and report the results of the test accuracy via screenshot. Make sure to provide necessary comments on your code. (a) Implement the following deep learning architecture and evaluate its test accuracy. network models.Sequential() network.add(layers.Dense (128, activation='sigmoid')) network.add(layers.Dense (10, activation='sigmoid')) network.compile (optimizer='sgd',loss='mse',metrics=['accuracy']) network.fit (X_train,y_train, epochs-20, batch_size=16) (b) Given that you are able to change the number of layers, number of neurons, activaiton functions, and the optimizer. Design your own architecture, provide your models code, and a screenshot of the highest test accuracy of your model. activation: ['sigmoid', 'tanh', 'relu'] optimzer ['sgd', 'RMSprop', 'Adam'] (c) Provide a high-level description of your model and include screenshot of your best network's wrong predicitons.

this is python programming, can you guys add comments in every line so I can understand it. 2 Question 2 Given the MNIST handwritten digits dataset, implement the following networks and report the results of the test accuracy via screenshot. Make sure to provide necessary comments on your code. (a) Implement the following deep learning architecture and evaluate its test accuracy. network models.Sequential() network.add(layers.Dense (128, activation='sigmoid')) network.add(layers.Dense (10, activation='sigmoid')) network.compile (optimizer='sgd',loss='mse',metrics=['accuracy']) network.fit (X_train,y_train, epochs-20, batch_size=16) (b) Given that you are able to change the number of layers, number of neurons, activaiton functions, and the optimizer. Design your own architecture, provide your models code, and a screenshot of the highest test accuracy of your model. activation: ['sigmoid', 'tanh', 'relu'] optimzer ['sgd', 'RMSprop', 'Adam'] (c) Provide a high-level description of your model and include screenshot of your best network's wrong predicitons.

Principles of Information Systems (MindTap Course List)

12th Edition

ISBN:9781285867168

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter5: Database Systems And Applications

Section: Chapter Questions

Problem 20SAT

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